systems. This role offers the opportunity to work on cutting-edge AI frameworks (LangGraph, LangChain, DSPy) and architect solutions to solve complex, multi-step business challenges.
What You'll Do
Design, build, and deploy autonomous AI agents using
Python
and frameworks like
LangGraph
to handle complex, multi-step business use cases.
Architect and implement advanced
RAG pipelines
, leveraging both
vector search
and
Graph RAG
techniques to extract insights from interconnected data.
Develop and refine complex agentic programs and prompts using frameworks like
DSPy
to optimize for performance and accuracy.
Integrate a diverse set of tools and APIs into agents, enabling them to interact with real-world systems and execute tasks.
Champion software engineering best practices including
end-to-end testing
,
documentation
, and
CI/CD
for agentic systems.
Who We're Looking For
Proven experience building complex applications in
Python
(experience with
Java
or other strong engineering backgrounds also valued).
Deep, hands-on experience with modern AI frameworks like
LangGraph
,
LangChain
, and
DSPy
for programming and optimizing LLM-based agents.
Strong understanding of the
RAG lifecycle
and experience with
graph-based datastores
(e.g., Neo4j) for implementing
Graph RAG
.
Ability to
architect and design systems
, not just implement them -- you think about trade-offs, benchmarking, and scalability.
Expertise in
advanced prompt engineering
and designing structured, multi-component system prompts.
Experience with
vector databases
(e.g., OpenSearch) and
relational databases
(e.g., Postgres).
Good to Have
Experience with
Docker
and
Kubernetes
for deploying AI applications.
Full software development lifecycle experience, including
DevOps
and
automated testing
.
Experience with
fine-tuning smaller, specialized language models
.
Why Join Us
Work on cutting-edge AI systems at the forefront of autonomous agents and advanced RAG pipelines.
Collaborate with a high-performing engineering team passionate about innovation.
Competitive compensation and growth opportunities.
Interested?
Send your resume to
[sandeep.panjala@interaslabs.com]
Job Type: Full-time
Pay: ₹100,044.81 - ₹3,000,000.00 per year
Benefits:
Provident Fund
Work Location: Remote
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