AI developer

CompuCom; Pune District; Hybrid; INR 1,400,000 - 2,100,000; Full time

Job summary

CompuCom is seeking an AI Developer in Pune, India to design and support enterprise AI applications using Claude, LangChain, and agent orchestration frameworks. You will implement RAG architectures, memory management, and tooling integrations for scalable AI solutions.

The role emphasizes cloud-native deployment, AI governance, and collaboration with stakeholders to translate business requirements into technical AI solutions.

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.

Responsibilities

• Assist with design, development, and support of enterprise-grade AI applications using Claude and other foundation models.
• Build intelligent agent-based solutions leveraging Amazon AgentCore and agent orchestration frameworks.
• Develop Retrieval-Augmented Generation (RAG) architectures to improve AI response quality and contextual accuracy.
• Utilize LangChain to build advanced AI pipelines, agent workflows, tool integration, and memory management capabilities.

Skills

Python

FastAPI

NLP

LLMs

LangChain

AgentCore

Agentic AI

Prompt engineering

AI evaluation

Education

Bachelor's degree in CS/AI/DS

Tools

Claude

Amazon AgentCore

LangGraph

Vector databases

Job description

Job Description

Job Title: AI Developer (Generative AI, Agentic AI & NLP)

Position Summary

We are seeking an innovative and experienced AI Developer to assist with development, and support of next-generation AI-powered applications and intelligent agent solutions. The ideal candidate will have strong expertise in Large Language Models (LLMs), Natural Language Processing (NLP), agent orchestration frameworks, and cloud-native AI services, including Claude, Amazon AgentCore, LangChain, and related AI technologies.

This role will be responsible for supporting scalable AI systems that automate business processes, enhance decision-making, and improve customer and employee experiences through intelligent conversational interfaces and autonomous AI agents.

Key Responsibilities

AI Solution Development

• Assist with design, development, and support of enterprise-grade AI applications using Claude and other foundation models.
• Build intelligent agent-based solutions leveraging Amazon AgentCore and agent orchestration frameworks.
• Develop Retrieval-Augmented Generation (RAG) architectures to improve AI response quality and contextual accuracy.

Natural Language Processing (NLP)

• Develop, optimize, and support NLP models for:
• Text classification
• Named Entity Recognition (NER)
• Sentiment analysis
• Information extraction
• Semantic search
• Conversational AI
• Design prompt engineering strategies and fine-tuning approaches for generative AI applications.
• Implement vector search and embedding solutions using modern vector databases.

AI Framework & Integration

• Utilize LangChain to build advanced AI pipelines, agent workflows, tool integration, and memory management capabilities.
• Integrate AI models with enterprise applications, APIs, databases, and cloud services.
• Build connectors between LLMs and business systems to automate workflows and business processes.
• Support AI-powered chatbots, virtual assistants, and decision-support solutions.

Cloud & Architecture

• Architect scalable AI solutions within AWS cloud environments.
• Implement AI governance, monitoring, observability, and security best practices.
• Optimize model performance, latency, throughput, and operational costs.
• Support deployment using containerized and serverless architectures.

Collaboration & Leadership

• Partner with business stakeholders, product owners, architects, and engineering teams to identify AI opportunities.
• Translate business requirements into technical AI solutions.
• Mentor junior developers and contribute to AI best practices and standards.
• Stay current with emerging AI technologies, frameworks, and industry trends.

Required Qualifications

Education

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field.

Technical Skills

Generative AI & LLMs

• Hands-on experience with Claude and other Large Language Models.
• Strong understanding of:
• Prompt Engineering
• RAG Architecture
• Function Calling
• Tool Usage
• Agentic AI Systems
• AI Evaluation Frameworks

Agent Frameworks

• Experience with:
• Amazon AgentCore
• LangChain
• LangGraph (preferred)
• Multi-agent architectures
• Workflow orchestration frameworks

NLP

• Strong experience in NLP concepts and libraries.
• Knowledge of:
• Text preprocessing
• Tokenization
• Embeddings
• Semantic search
• Intent classification
• Entity extraction
• Document processing

Programming

• Expert-level Python development.
• Experience with:
• FastAPI
• REST APIs
• Microservices
• Software design patterns
• Test-driven development

Cloud & Infrastructure

• AWS Cloud Services
• Docker
• Kubernetes (preferred)
• CI/CD pipelines
• Git and DevOps practices

Data Technologies

• SQL and NoSQL databases
• Vector databases such as:
• Pinecone
• OpenSearch
• Chroma
• Weaviate
• FAISS

Preferred Qualifications

• AWS Certified AI Practitioner, Machine Learning Engineer, or Solutions Architect certification.
• Experience building production AI copilots and digital assistants.
• Knowledge of machine learning and deep learning frameworks.
• Experience implementing AI governance, responsible AI, and model monitoring practices.
• Familiarity with enterprise integration platforms and workflow automation tools.

Key Competencies

• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities
• Ability to work independently and within cross-functional teams
• Innovation mindset with a passion for emerging AI technologies
• Strong understanding of software engineering best practices
• Customer-focused approach to solution design

Success Metrics

• Support of production-ready AI applications and agents
• Improvement in business process automation and efficiency
• AI solution scalability, reliability, and adoption
• AI model performance, accuracy, and user satisfaction
• Reduction of manual effort through intelligent automation

Ideal Candidate Profile

A successful candidate will combine strong software engineering skills with deep expertise in Generative AI, Claude, AgentCore, LangChain, NLP, and agent-based architectures. They will be capable of architecting enterprise AI solutions from concept through production while ensuring security, scalability, governance, and measurable business value.