288 AI Engineer jobs in Coimbatore

Lead AI Engineer & Intermediate AI Engineer (Regulatory Workflow Automation)

Openings: 1 Lead + 1 Intermediate

Location: Bangalore (Hybrid — 2–3 days/week onsite)

Category: AI Engineering – Regulatory & Compliance Automation

About the team

We’re building AI-powered, automated workflows for compliance-heavy business processes. You’ll work closely with domain SMEs to translate rules and manual steps into scalable AI/ML-driven automation on Databricks and Azure.

What you’ll do

• Build & deploy automated workflows for regulatory/compliance processes (ingestion → transformation → decisioning).
• Design agentic flows (LangChain/AutoGen) to orchestrate data pipelines and decisions.
• Implement impact analysis for risk, compliance, and cost assessments.
• Leverage Databricks (notebooks, jobs, DLT) for large-scale workflows and monitoring.
• Productionize solutions with CI/CD; containerize using Docker/Kubernetes on Azure .
• Partner with SMEs and engineering to re-design processes for scalability and auditability.

Must-have skills

• Python (strong), Prompt Engineering, LangChain / AutoGen (agentic workflows).
• Databricks expertise: notebooks, pipelines, DLT, jobs, monitoring.
• Familiarity with regulatory/compliance data and workflows.
• CI/CD (GitHub/Jenkins/Azure DevOps), Docker/K8s , cloud deployment (Azure preferred).
• Strong problem solving & stakeholder communication.

Nice-to-have

• Experience with event-driven architectures, feature stores, and policy-as-code.
• Exposure to governance/lineage/observability tools.

Experience bands

• Lead AI Engineer: 7–10+ years overall; 3+ years in AI workflow automation; prior mentoring/ownership of production systems.
• Intermediate AI Engineer: 3–6 years overall; hands-on with Databricks + agent frameworks; eager to own modules end-to-end.

Job Title: AI Engineer

Location: Remote & Hyderabad, INDIA

Job Type: Contract and Immediate joiners

Job Description:

We are looking for a Senior AI Engineer to develop and optimize scalable backend systems, APIs, and AI Automation workflows . You will work on building high-performance applications, integrating third-party APIs, and designing efficient, cloud-native architectures.

Responsibilities:

• Design, develop, and maintain scalable backend services and APIs using Python/Fast API and frameworks like FastAPI, Flask, .
• Optimize database performance using SQL/NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis).
• Implement asynchronous programming for high-throughput applications using , Kafka, RabbitMQ .
• Work with microservices architecture , containerization (Docker), and orchestration (Kubernetes).
• Implement CI/CD pipelines for continuous deployment and testing.
• Collaborate with data engineers to process and optimize large-scale datasets .
• Develop and integrate machine learning pipelines where necessary.
• Write efficient, well-documented, and maintainable code following best practices.
• Conduct code reviews and mentor junior developers .
• Ensure high system security, performance, and scalability .

Requirements:

• 5+ years of experience in software development and 5+ in Python
• 2+ yrs exp of Gen AI, Open AI, AWS bedrock, crew,ai, langchain, etc
• Strong understanding of OOP, design patterns, and SOLID principles .
• Experience in building RESTful and GraphQL APIs .
• Expertise in SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Elasticsearch).
• Knowledge of multi-threading, concurrency, and asynchronous programming .
• Hands-on experience with cloud platforms (AWS, GCP, Azure) and serverless computing .
• Experience working with DevOps tools, CI/CD pipelines, and containerization .
• Strong debugging and performance optimization skills.
• Proficiency in unit testing and test-driven development (TDD) .

 Job Title: Backend Systems Engineer – Agent & Workflow Infrastructure

 Location : Remote

 Employment Type: Full-time

What You’ll Do:

 - Build and scale a FastAPI backend powering multi-agent workflows.

 - Design workflow orchestration pipelines with Temporal or similar to plan multi-step actions, handle fallbacks, and reason over user intent.

 - Implement memory and context systems for knowledge retrieval and adaptive workflows.

 - Manage authentication, user integrations, and secure credential handling.

 - Build robust error handling for both internal reasoning and external API/tool failures.

 - Own deployment, monitoring, and scaling of backend infrastructure.

What We’re Looking For:

 - Strong backend experience with Python/FastAPI.

 - Proven ability to design workflow orchestration and agent systems.

 - Experience with context management, prompt engineering, and AI-engineering (about 1-2 years of experience with AI and agents) and some level of understanding of agent frameworks

 - Knowledge of Postgres and vector databases

 - Ability to build systems for multi-step planning, minimal hallucination and graceful error recovery.

 - Familiarity with multi-agent architectures and dynamic workflow generation (functional programming approaches)

Join our team as as an AI/ML Engineer, where you will be instrumental in developing an AI-native software that enhances both creativity and productivity for teams and enterprises. This position is ideal for those passionate about leveraging machine learning to create cutting-edge solutions.

Key Responsibilities:

• Build AI enabled products that are fully enabled by the capabilities of LLMs and other recent developments in foundation models. Evaluate and assimilate emerging techniques into our production systems.
• Build high performance Search and RAG: Data indexing, ranking, query processing
• Build evaluation frameworks for agent, RAG, and LLM performance: We are taking a polyglot approach to working with LLMs with a strong preference for getting workloads working on open source models.

Qualifications:

• 2-5 years of experience in Software Engineering or end-to-end Data Science. Proficient in Python and data oriented algorithms.
• Strong background in either distributed data systems or machine learning engineering. Experience with distributed computing frameworks like Ray is a plus.
• Proven ability to experiment with new techniques and deliver robust production code. We work mostly in python, and have both LlamaIndex and LangChain code in our emerging RAG stack. Other technologies include; Ray, Postgres, Iceberg, Google Cloud, Docker/Kubernetes/Helm
• Recent demonstrated experience in (and excitement for) building agents, training and evaluating emerging foundation LLMs, building RAG systems and planet scale information retrieval systems, or working with vector databases. We encourage you to share your projects with us!

Our Team:

We are a pre-seed startup with a compact with a high performance engineering culture that emphasizes personal accountability, autonomy, learning and growth. Led by experienced founders, our approach is design-centric, underpinned by market analysis, user research, and a dedication to scientific thinking and automation. We value intelligence, respectful collaboration, and SHIPPING CODE!

About Fincore

• At Fincore we’re on a mission to to build next-generation AI-native finance technology for enterprises
• Our core values - ownership, customer obsession, truth-seeking, and velocity - guide everything we do
• We are venture-backed and closely collaborate with seasoned technology, finance and AI leaders
• We maintain a small, talent-dense team of domain experts and technologists

What We're Looking For

We are seeking an extremely talented, senior- to staff-level AI engineer to help us pioneer the future of finance and accounting. You must have experience building high-quality, complex, yet maintainable LLM apps and agents, and you should be able to do so in a fraction of the time that most competent people think is possible (in part because of your ability to wield the latest in code generation and intuition for prompt engineering). You must have a strong ability to collaborate with customers directly to build solutions tailored to their business needs.

Must-Have Skills

• 5+ years of experience building backend services in Python, Node.js, or similar
• Deep experience and intuition with LLMs
• Cutting-edge knowledge of code generation and prompting techniques
• Experience building agents and tooling for agents
• Expertise in API design (REST, GraphQL) and relational databases
• Strong problem-solving, communication, and collaboration skills

Good to have

• Top-tier institutes preferred (IIT's, NIT's etc.)
• Experience building fintech software
• Experience working in a large enterprise / big tech

Our Tech Stack: NextJS | Python | LangGraph | AWS | Neo4j | PostgreSQL | MongoDB

Join our team as as an AI/ML Engineer, where you will be instrumental in developing an AI-native software that enhances both creativity and productivity for teams and enterprises. This position is ideal for those passionate about leveraging machine learning to create cutting-edge solutions.

Key Responsibilities:

• Build AI enabled products that are fully enabled by the capabilities of LLMs and other recent developments in foundation models. Evaluate and assimilate emerging techniques into our production systems.
• Build high performance Search and RAG: Data indexing, ranking, query processing
• Build evaluation frameworks for agent, RAG, and LLM performance: We are taking a polyglot approach to working with LLMs with a strong preference for getting workloads working on open source models.

Qualifications:

• 2-5 years of experience in Software Engineering or end-to-end Data Science. Proficient in Python and data oriented algorithms.
• Strong background in either distributed data systems or machine learning engineering. Experience with distributed computing frameworks like Ray is a plus.
• Proven ability to experiment with new techniques and deliver robust production code. We work mostly in python, and have both LlamaIndex and LangChain code in our emerging RAG stack. Other technologies include; Ray, Postgres, Iceberg, Google Cloud, Docker/Kubernetes/Helm
• Recent demonstrated experience in (and excitement for) building agents, training and evaluating emerging foundation LLMs, building RAG systems and planet scale information retrieval systems, or working with vector databases. We encourage you to share your projects with us!

Our Team:

We are a pre-seed startup with a compact with a high performance engineering culture that emphasizes personal accountability, autonomy, learning and growth. Led by experienced founders, our approach is design-centric, underpinned by market analysis, user research, and a dedication to scientific thinking and automation. We value intelligence, respectful collaboration, and SHIPPING CODE!

 Job Title: Backend Systems Engineer – Agent & Workflow Infrastructure

 Location : Remote

 Employment Type: Full-time

What You’ll Do:

 - Build and scale a FastAPI backend powering multi-agent workflows.

 - Design workflow orchestration pipelines with Temporal or similar to plan multi-step actions, handle fallbacks, and reason over user intent.

 - Implement memory and context systems for knowledge retrieval and adaptive workflows.

 - Manage authentication, user integrations, and secure credential handling.

 - Build robust error handling for both internal reasoning and external API/tool failures.

 - Own deployment, monitoring, and scaling of backend infrastructure.

What We’re Looking For:

 - Strong backend experience with Python/FastAPI.

 - Proven ability to design workflow orchestration and agent systems.

 - Experience with context management, prompt engineering, and AI-engineering (about 1-2 years of experience with AI and agents) and some level of understanding of agent frameworks

 - Knowledge of Postgres and vector databases

 - Ability to build systems for multi-step planning, minimal hallucination and graceful error recovery.

 - Familiarity with multi-agent architectures and dynamic workflow generation (functional programming approaches)

Role

• LLM Workflow Builder – design and wire up prompts, tools, memory and agents with LangChain / LangGraph / LangServe.
• API & Micro-Service Owner – ship FastAPI endpoints (REST + streaming) that are secure, observable and lightning fast.
• End-to-End Engineer – own the full lifecycle: code → container → CI/CD → K8s → monitoring, with a bias for rapid, iterative releases.
• Cross-Functional Partner – collaborate with product and design to scope MVPs, estimate effort, and keep delivery on track.

Responsibilities

• Architect, implement and maintain multi-agent workflows and retrieval-augmented pipelines.
• Write clean, typed, tested Python (async, pytest, poetry).
• Instrument and evaluate everything with LangSmith / LangFuse; build guardrails and regression suites for prompts.
• Containerize (Docker) and deploy (Kubernetes, GitHub Actions) with automated rollbacks and alerts.
• Optimize latency, throughput and cost; troubleshoot production issues end-to-end.
• Mentor teammates on best practices in LLM app engineering and DevOps.

Must-Have Skills

• Strong Python craftsmanship and async I/O expertise.
• Proven experience with LangChain or LangGraph in real projects.
• FastAPI (or similar) for building REST / streaming APIs.
• Solid DevOps: Docker, basic Kubernetes, CI/CD pipelines, observability tooling.
• Git proficiency: PR hygiene, code reviews, and clear documentation.

Nice-to-Haves

• Lightweight fine-tuning (LoRA/QLoRA) or embedding-model selection.
• Vector databases (Postgres/pgvector, Milvus, LanceDB).
• Serverless / edge deploys (Fly.io, Cloudflare Workers, AWS Lambda).
• Experience with multi-agent planning frameworks or autonomous tool-use research.

About Fincore

• At Fincore we’re on a mission to to build next-generation AI-native finance technology for enterprises
• Our core values - ownership, customer obsession, truth-seeking, and velocity - guide everything we do
• We are venture-backed and closely collaborate with seasoned technology, finance and AI leaders
• We maintain a small, talent-dense team of domain experts and technologists

What We're Looking For

We are seeking an extremely talented, senior- to staff-level AI engineer to help us pioneer the future of finance and accounting. You must have experience building high-quality, complex, yet maintainable LLM apps and agents, and you should be able to do so in a fraction of the time that most competent people think is possible (in part because of your ability to wield the latest in code generation and intuition for prompt engineering). You must have a strong ability to collaborate with customers directly to build solutions tailored to their business needs.

Must-Have Skills

• 5+ years of experience building backend services in Python, Node.js, or similar
• Deep experience and intuition with LLMs
• Cutting-edge knowledge of code generation and prompting techniques
• Experience building agents and tooling for agents
• Expertise in API design (REST, GraphQL) and relational databases
• Strong problem-solving, communication, and collaboration skills

Good to have

• Top-tier institutes preferred (IIT's, NIT's etc.)
• Experience building fintech software
• Experience working in a large enterprise / big tech

Our Tech Stack: NextJS | Python | LangGraph | AWS | Neo4j | PostgreSQL | MongoDB