AI Engineer – Agentic AI | Offshore
Photon Interactive · Not specified · onsite · Posted 41d ago
Not disclosedFresherfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
JOB DESCRIPTION
- Responsibilities
- Design and develop AI agents, super-agent/sub-agent architectures, and agentic workflows using Python, LangChain, and LangGraph.
- Build production-ready AI solutions using Amazon Bedrock.
- Design and implement super-agent and sub-agent patterns for complex, multi-step business workflows.
- Develop agents capable of tool calling, API invocation, information retrieval, and multi-step task execution.
- Design prompts, tool definitions, structured outputs, agent state, and workflow orchestration.
- Integrate AI agents with REST APIs, databases, enterprise applications, and external services.
- Build RAG-based solutions using embeddings, vector databases/search, and enterprise knowledge sources.
- Implement reliability mechanisms including error handling, retries, validation, fallback strategies, and guardrails.
- Test, evaluate, and improve agent responses for accuracy, reliability, and consistency.
- Develop clean, scalable, and maintainable Python services and APIs.
- Work with senior engineers and architects to integrate and deploy AI solutions into AWS cloud environments.
- Required Skills
- Approximately 5 years of software development experience.
- Strong Python programming skills.
- Hands-on experience building Generative AI / LLM applications.
- Practical experience building and implementing AI agents or agentic workflows.
- Mandatory hands-on experience with Amazon Bedrock.
- Strong understanding of super-agent and sub-agent concepts, architectures, and orchestration.
- Experience with LangChain and/or LangGraph.
- Experience integrating LLMs through APIs.
- Hands-on experience with RAG, embeddings, vector databases, and vector search.
- Strong understanding of:
- Prompt engineering
- Function/tool calling
- Structured LLM outputs
- Agent state and workflow orchestration
- Super-agent/sub-agent patterns
- RAG fundamentals
- Embeddings and vector search
- LLM response validation and error handling
- Experience building and consuming REST APIs.
- Strong understanding of software engineering fundamentals, Git, testing, debugging, and code quality.
- Preferred Skills
- Experience with Amazon Bedrock AgentCore.
- Experience with AWS services such as:
- AWS Lambda
- Amazon S3
- API Gateway
- DynamoDB
- IAM
- CloudWatch
- Experience deploying AI applications using Docker and AWS cloud services.
- Exposure to MCP (Model Context Protocol) or similar AI tool-integration protocols.
- Experience with LLM evaluation, observability, tracing, or agent performance monitoring.
Sourced from foundit
Skills
TestingDockerAI agents or agentic workflowsBedrockvector searchcode qualityvector databasesAWS Cloud ServicesdebuggingSoftware engineering fundamentalsRAG embeddingsPythonGenerative AI LLM applicationsREST APILanggraphLangchainGIT
About Photon Interactive
Photon Interactive
IT Services & Consulting
4.1k+
employees
1999
27 years old
London
United Kingdom
₹13.5L PA avg
Avg at Photon Interactive
About
Photon, a global leader in digital transformation services and IT consulting, works with 40% of the Fortune 100 companies as their digital agency of choice.
Industries
IT Services & Consulting
Employee ratings
10 reviews
4.1/ 5
Culture
3.1
Career growth
3.1
Work-life
3.0
Employees rate it well for
Skill Development42Compensation & Benefits41
Find them on