Lead Python/ Generative AI Expert

Lead / Python/ Generative AI Expert
Bengaluru/Hyderabad/Pune
EXPERIENCE 5 - 10 years
ABOUT HASHEDIN
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WHY SHOULD YOU JOIN US?
With the agility of a start-up and the opportunities of an enterprise, every day at
HashedIn, your work will make an impact that matters. So, if you are a problem
solver looking to thrive in a dynamic fun culture of inclusion, collaboration, and high
performance HashedIn is the place to be!
From learning to leadership, this is your chance to take your software engineering
career to the next level.
So, what impact will you make?
Visit us @ https://hashedin.com
JOB TITLE: Lead Python/ Generative AI Expert
EXPERIENCE/SKILLS FOR AN IDEAL CANDIDATE:
Extensive experience (5-10 years) in backend architecture and design for
scalable, distributed systems using Python and modern frameworks (FastAPI, Django
REST Framework, Flask).
Proficiency in building Asynchronous code. Must have a good knowledge of a
web framework like FastAPI, DRF, or Flask, with specific, hands-on experience
using asyncio to build scalable, I/O-bound services.
Proven expertise in architectural decision-making, evaluating trade-offs, and
designing robust, maintainable solutions for complex business problems.
¢ Strong background in code review, enforcing best practices, mentoring team
members, and driving continuous improvement in code quality and maintainability.
¢ Deep experience in Multi-Agent System workflow and design, including
orchestration, communication protocols, and agent lifecycle management using
frameworks such as LangChain, AutoGen, CrewAI, or similar.

¢ Advanced skills in database schema design and optimization, including
relational (PostgreSQL, MySQL) and NoSQL databases, with a focus on scalability,
normalization, and performance.
¢ Expertise in API design, including RESTful, asynchronous, and event-driven
APIs, ensuring security, scalability, and maintainability.
¢ Experience in breaking down complex requirements into actionable tasks,
creating detailed work breakdown structures, and aligning deliverables with business
objectives.
¢ Strong skills in effort estimation, resource planning, and risk assessment,
ensuring timely and predictable delivery of high-quality solutions.
¢ Strong proficiency with Python testing frameworks like pytest, with a focus on
writing comprehensive unit, functional, and integration tests.
¢ Solid understanding of Python packaging, dependency management, and virtual
environments, with hands-on experience using tools like Poetry, uv, pip, and
virtualenv/venv.
¢ Strong understanding of basics of SQL reading and writing SQL queries, a basic
understanding of database interaction tools schema design, and database
optimization.
¢ Hands-on experience with Python data libraries (Pandas, NumPy)
¢ Good knowledge of API development and testing including but not limited to
HTTP, RESTful services, Postman, and allied cloud-based services like API
Gateway.
¢ Should have a keen eye for architecture. Understand the trade-off between
architectural choices, both on a theoretical level and an applied level.
¢ Good exposure of LLM SDKs(e.g., OpenAI, Anthropic, Azure OpenAI, Google
Gemini).
¢ Understanding of LLM orchestration and lifecycle management, including
prompt engineering, agent state management, and debugging agentic loops.
¢ Familiarity with Retrieval-Augmented Generation (RAG) patterns and practical
experience with vector databases (e.g., Pinecone, Weaviate, ChromaDB, or
pgvector) for managing long-term memory and knowledge bases for agents.
¢ Strong grasp of Agentic AI concepts, including the ability to design, build, and
orchestrate autonomous agents that can reason, plan, and execute tasks using a
predefined set of tools.
¢ Experience with multi-agent systems and frameworks (LangChain, AutoGen,
Google ADK, CrewAI) or building complex chains and agentic workflows.

¢ Familiarity with emerging open standards for AI interoperability, including the Model
Context Protocol (MCP) for secure agent-tool communication and the Agent2Agent
(A2A) protocol for multi-agent collaboration.
¢ Strong understanding on at-least one cloud platform (AWS, GCP, Azure) to
deploy, manage, and scale applications.
¢ Strong proficiency with Git for version control, including hands-on experience with
collaborative workflows on platforms like GitHub or Bitbucket (e.g., branching,
pull/merge requests, and code reviews).
¢ Experience in presenting Proof of Concepts (POC) findings, including performance
benchmarks, potential risks, and strategic recommendations to both technical
and non-technical stakeholders. Proven ability to translate successful POCs into well-
architected, scalable, and production-ready solutions.
¢ Good to have hands-on experience with AI coding assistants like GitHub Copilot
and familiarity with agent development platforms such as Google's Agentspace or
similar tools.
OVERVIEW OF THE ROLE:
This role serves as a paradigm for the application of team software development
processes and deployment procedures. Additionally, the incumbent actively
contributes to the establishment of best practices and methodologies within the team.
¢ Own the end-to-end architecture and technical direction for multi-agent systems
and AI-driven workflows.
¢ Lead code reviews, enforce best practices, and mentor team members to ensure
high standards of code quality and maintainability.
¢ Collaborate with stakeholders to gather requirements, define technical
specifications, and break down work into actionable tasks.
¢ Drive the design and optimization of database schemas and APIs, ensuring
scalability, security, and performance.
¢ Provide accurate effort estimations, resource planning, and risk management for
project deliverables.
¢ Present architectural decisions, technical findings, and recommendations to both
technical and business audiences.
¢ Contribute to the establishment of best practices, methodologies, and a culture of
innovation within the team.

¢ Ensure quality delivery through industry best practices and standards in building
performant, scalable, and secure APIs and agentic workflows.
¢ Stay abreast of emerging technologies and frameworks, proactively applying them
to solve evolving business challenges.¢
EDUCATIONAL QUALIFICATIONS: B.E. / B. Tech, MCA, M.E / M. Tech