284 AI Software Engineer jobs in Kakinada

Are you interested in building ground breaking AI products that solve a large problem?

We are looking for an experienced and exceptional AI / Machine Learning Engineer to join our growing team. In this role, you will be involved in the design, development, and optimization of AI and Machine Learning products that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of machine learning systems. 

As part of this role you will:

• Build conversational AI interfaces that handle multi-turn customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary.
• Design and implement advanced AI/ML systems with a focus on LLMs, AI Agents, and retrieval-augmented generation (RAG) architectures.
• Build production-grade AI pipelines for data processing, model training, fine-tuning, and serving at scale.
• Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, and conversation outcomes to improve model performance over time.
• Create analytics dashboards and reporting tools to track automation effectiveness, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores.
• Lead technical initiatives for AI system integration into existing products and services.
• Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models.

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, or a related field, or equivalent practical experience.
• 5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java).
• Demonstrated experience building production conversational AI systems including chatbots, virtual assistants, and automated support agents using LLMs (OpenAI, Anthropic, open-source models).
• Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, and conversation flow management.
• Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling.
• Strong background in customer support metrics and KPIs including CSAT, first contact resolution, average handle time, and containment rate optimization.
• Experience with sentiment analysis and emotion detection for escalation triggers and customer satisfaction monitoring.
• Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions.
• Proficiency with contact center platforms (Zendesk, Salesforce Service Cloud, Genesys, or similar) and their API integrations.
• Experience implementing real-time agent assist systems that provide suggestions, knowledge articles, and response templates during live interactions.
• Familiarity with compliance and security requirements for handling sensitive customer data in automated systems (PCI, HIPAA, GDPR).
• Experience with A/B testing and experimentation frameworks for optimizing conversation flows and response strategies.

Soft Skills / Personal Characteristics

• Soft Skills / Personal CharacteristicsStrong communication abilities to explain technical concepts
• Collaborative mindset for cross-functional team work
• Detail-oriented with strong focus on quality
• Self-motivated and able to work independently
• Passion for solving complex search problems

INTRODUCTION:

About US: We at Terra Edge Soft Pvt. Ltd. Are involved in providing professional Services to our client in Telecom Services, Telecom Software Solutions and AI-ML Services. We have Successfully deployed Professionals on Open RAN /5G Technologies across Europe, Africa & Asian Regions. We are closely working with US client in delivering AI-ML Solutions for more details you can visit our Website.  

Client Profile: For one of our client focussed on developing AI-ML based solutions for Telecom Sector

Candidates with local Software AI Engineer – Telecom Products

What you must have :

We are seeking a highly skilled  Software AI Engineer – Telecom Products, Software AI Engineer with hands-on experience in developing AI-powered software solutions tailored for the telecommunications industry. The ideal candidate combines deep software engineering knowledge with AI/ML model development and a strong understanding of telecom use cases, such as network automation, predictive maintenance, churn prediction, and zero-touch provisioning.

Candidate will work alongside product and domain experts to build intelligent systems that drive automation and efficiency across telecom platforms, including OSS/BSS, RAN, and core networks.

 Key Responsibilities:

· Build and deploy ML models using telecom data (alarms, logs, KPIs, CDRs)

· Develop AI-powered microservices and APIs

· Integrate ML into OSS/BSS, RAN, or service assurance systems

· Collaborate with product and network teams to embed intelligence into telco workflows

Required Qualifications:

· Strong Python & ML framework experience (TensorFlow, PyTorch, etc.)

· Background in telecom AI use cases (fault prediction, automation, optimization)

· Experience with cloud (AWS/GCP), containers (Docker, K8s)

· Bonus: Familiarity with OSS/BSS, 3GPP, SNMP, network slicing

Education :

Bachelor’s Degree in one of the following fields:  Computer Science, Electrical or Electronics Engineering. Telecommunications Engineering, Artificial Intelligence / Data Science or Information Technology

SUBMISSION 

Please share your CV with following in order with experience and details of specific reference to JD shared. Please share your CV in Word Format.

· Name /Contact Details

· Carrier Summary

· Professional Experience (Company Name/ Period / Role / Designation)

· Special Achievements/ Awards/ Recognitions

· Professional Tools/ Software/Systems Used/Managed.

· Professional Trainings Undertaken

· Education : Graduation and above

· Location

· Personal Details

· Joining Period 

· Total CTC and Expected CTC

To be sent with Role Title to

INTRODUCTION:

 About US: We at Terra Edge Soft Pvt. Ltd. Are involved in providing professional Services to our client in Telecom Services, Telecom Software Solutions and AI-ML Services. We have Successfully deployed Professionals on Open RAN /5G Technologies across Europe, Africa & Asian Regions. We are closely working with US client in delivering AI-ML Solutions for more details you can visit our Website.  

Client Profile: For one of our client focussed on developing AI-ML based solutions for Telecom Sector

Candidates with local Software AI Engineer – Telecom Products

What you must have :

We are seeking a highly skilled  Software AI Engineer – Telecom Products, Software AI Engineer with hands-on experience in developing AI-powered software solutions tailored for the telecommunications industry. The ideal candidate combines deep software engineering knowledge with AI/ML model development and a strong understanding of telecom use cases, such as network automation, predictive maintenance, churn prediction, and zero-touch provisioning.

Candidate will work alongside product and domain experts to build intelligent systems that drive automation and efficiency across telecom platforms, including OSS/BSS, RAN, and core networks.

 Key Responsibilities:

· Build and deploy ML models using telecom data (alarms, logs, KPIs, CDRs)

· Develop AI-powered microservices and APIs

· Integrate ML into OSS/BSS, RAN, or service assurance systems

· Collaborate with product and network teams to embed intelligence into telco workflows

Required Qualifications:

· Strong Python & ML framework experience (TensorFlow, PyTorch, etc.)

· Background in telecom AI use cases (fault prediction, automation, optimization)

· Experience with cloud (AWS/GCP), containers (Docker, K8s)

· Bonus: Familiarity with OSS/BSS, 3GPP, SNMP, network slicing

Education :

Bachelor’s Degree in one of the following fields:  Computer Science, Electrical or Electronics Engineering. Telecommunications Engineering, Artificial Intelligence / Data Science or Information Technology

SUBMISSION 

Please share your CV with following in order with experience and details of specific reference to JD shared. Please share your CV in Word Format.

· Name /Contact Details

· Carrier Summary

· Professional Experience (Company Name/ Period / Role / Designation)

· Special Achievements/ Awards/ Recognitions

· Professional Tools/ Software/Systems Used/Managed.

· Professional Trainings Undertaken

· Education : Graduation and above

· Location

· Personal Details

· Joining Period 

· Total CTC and Expected CTC

To be sent with Role Title to

At Testbit, we're building an AI-first platform to transform how students learn and practice , blending real-time assistance, personalized support, and engaging tools all powered by cutting-edge AI

This role involves integrating

AI models for features like:

• Automated doubt resolution via text, voice, and video
• Personalized feedback systems
• Smart content generation

We’re looking for someone who’s hands-on with AI APIs, fast to build, and hungry to solve real problems.

Skills: Python/Node.js, OpenAI API, Whisper, GitHub etc

Mindset: Curious, fast-learner, can turn ideas into working code

This is an internship with the opportunity to join the core team/co-founder track if things go well.

DM with your GitHub, past AI projects, or just a cool idea you built.

Pay: Small stipend to keep you motivated, and if things go well, a core team/co-founder role is on the table.

Job Title: AI Engineer – Web Crawling & Field Data Extraction

Location: (Remote)

Department: Engineering / Data Science

Experience Level: Mid to Senior

Employment Type: Contract to Hire

About the Role:

We are looking for a skilled AI Engineer with strong experience in web crawling, data parsing, and AI/ML-driven information extraction to join our team. You will be responsible for developing systems that automatically crawl websites, extract structured and unstructured data, and intelligently map the extracted content to predefined fields for business use.

This role combines practical web scraping, NLP techniques, and AI model integration to automate workflows that involve large-scale content ingestion.

Key Responsibilities:

• Design and develop automated web crawlers and scrapers to extract information from various websites and online resources.
• Implement robust and scalable data extraction pipelines that convert semi-structured/unstructured data into structured field-level data.
• Use Natural Language Processing (NLP) and ML models to intelligently interpret and map extracted content to specific form fields or schemas.
• Build systems that can handle dynamic web content, captchas, JavaScript-rendered pages, and anti-bot mechanisms.
• Collaborate with frontend/backend teams to integrate extracted data into user-facing applications.
• Monitor crawler performance, ensure compliance with legal/data policies, and manage scheduling, deduplication, and logging.
• Optimize crawling strategies using AI/heuristics for prioritization, entity recognition, and data validation.
• Create tools for auto-filling forms or generating structured records from crawled data.

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field.
• 3+ years of hands-on experience with web scraping frameworks (e.g., Scrapy, Puppeteer, Playwright, Selenium).
• Proficiency in Python, with experience in BeautifulSoup, lxml, requests, aiohttp, or similar libraries.
• Experience with NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers) to parse and map extracted data.
• Familiarity with ML-based data classification, extraction, and field mapping.
• Knowledge of structured data formats (JSON, XML, CSV) and RESTful APIs.
• Experience handling anti-scraping techniques and rate-limiting controls.
• Strong problem-solving skills, clean coding practices, and the ability to work independently.

Nice-to-Have

• Experience with AI form understanding (e.g., LayoutLM, DocAI, OCR).
• Familiarity with Large Language Models (LLMs) for intelligent data labeling or validation.
• Exposure to data pipelines, ETL frameworks, or orchestration tools (Airflow, Prefect).
• Understanding of data privacy, compliance, and ethical crawling standards.

Why Join Us?

• Work on cutting-edge AI applications in real-world automation.
• Be part of a fast-growing and collaborative team.
• Opportunity to lead and shape intelligent data ingestion solutions from the ground up.