Python Developer

AI Engineer

LLMs, Agents & AI Services

📍 Mumbai (On-site) | Full-time | 2-4 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

AI is core to how we design, deliver, and scale software for our customers.

We are hiring an AI Engineer for a dedicated client engagement building a complex production AI platform, working on the AI capabilities and agentic features at the core of the product.

The mandatory requirement for this role is at least one AI feature personally shipped to production for real users, with operational ownership.

The role suits someone who thinks quickly on solutioning, can take an ambiguous problem to a working prototype in days, and has the discipline to carry it through to production with predictable economics.

You will work alongside the Senior AI Engineer and the wider pod, with ownership of parts of the AI surface area of the product.

Responsibilities:

Solutioning and POCs

Translate ambiguous customer problems into working POCs at speed.

Pick the right model, framework, and architecture, and demonstrate value early before scaling investment.

LLM Application Development

Build AI features and services using LLM APIs from OpenAI, Anthropic, Google, and self-hosted open-weight models (Llama, Qwen, Mistral).

Choose the right model per use case based on cost, latency, capability, and context-window trade-offs.

Agentic System Design

Design and implement agentic workflows using LangGraph, CrewAI, AutoGen, LlamaIndex Agents, or custom orchestration.

Cover tool use, planning, memory, and multi-step reasoning appropriate to the problem.

API and Service Development

Build production AI services and APIs using Python and FastAPI.

Handle streaming responses, async processing, structured outputs, retries, and graceful degradation when models or tools fail.

Retrieval and Tool Integration

Implement RAG pipelines with vector databases (Pinecone, Weaviate, Qdrant, pgvector, Chroma), embeddings, chunking strategies, hybrid search, and reranking.

Integrate external tools, internal APIs, and document sources through tool-calling and MCP-style patterns.

Cost Analysis and Unit Economics

Model the per-request and per-user cost of every AI feature before it ships.

Track token usage, prompt caching, batching, and model-routing strategies.

Drive measurable improvements in unit economics.

Production Hardening

Add observability and tracing (LangSmith, Langfuse, OpenTelemetry), guardrails, content safety checks, prompt injection defences, and fallback behaviour.

Prompt Engineering and Evaluation

Design, test, and iterate prompts with measured outcomes.

Build evaluation harnesses for accuracy, hallucination, latency, and cost.

Run benchmarks across models and prompt variants before locking in a design.

Requirements:

AI Feature Shipped to Production (Mandatory)

Must have personally built and shipped at least one AI feature that runs in production for real users, with operational ownership.

POCs, internal demos, and one-off scripts do not qualify.

2 to 4 Years of Professional Software or AI Engineering Experience

With at least one production AI feature owned end to end.

Strong Python Proficiency and API Development with FastAPI

Comfort with type hints, async, packaging, testing, streaming responses, and authentication.

Production-grade Python, not notebook-only code.

Hands-on Depth Across the LLM and Agent Stack

Working experience with at least two of OpenAI, Anthropic Claude, Google Gemini, or self-hosted open-weight models (vLLM, Ollama, Together, Replicate).

Working familiarity with at least one agent framework (LangGraph, CrewAI, AutoGen, LlamaIndex Agents) or hand-rolled equivalent.

Working knowledge of RAG, embeddings, and vector databases (Pinecone, Weaviate, Qdrant, pgvector, Chroma).

Solutioning Speed and POC Velocity

Demonstrated ability to move from a fuzzy problem to a working prototype in days.

Strong instinct for what to build first, what to defer, and what to throw away.

Cost Discipline for Production AI

Ability to calculate, monitor, and optimise the cost of LLM APIs, tokens, embeddings, vector store usage, and infrastructure.

Treats unit economics as a first-class concern.

AWS Familiarity

Working knowledge of EC2, S3, IAM, and at least one of Bedrock, SageMaker, or equivalent.

Comfortable in a Fast-Moving Environment

Self-directed, comfortable with ambiguity, takes ownership without being asked, and ships under shifting priorities.

Strong Written and Spoken English Communication

Able to explain trade-offs to non-AI engineers, designers, product managers, and clients in plain language.

Nice to Have

• fine-tuning or LoRA, QLoRA, PEFT exposure
• MCP server authoring
• eval framework experience (LangSmith, Promptfoo, Ragas, DeepEval)
• open-source AI contributions
• multi-modal models (vision, audio)

You have 3 to 14 yrs of software engineering & product delivery experience with strong

background in datastructures & algorithms

• You’ve proven software development credentials having successfully built complex

products

• You are experienced with one or more general programming languages (e.g. Java, C/C++,

Go). Ability to learn other coding languages as needed.

• You’ve proven software development credentials having successfully built complex

products

• You have a strong foundation in the fundamentals of computer science, with familiarity in

data structures, algorithms and a strong command of object-oriented principles.

• You have experience in one or more of the following areas: Server Backend, Distributed

and Parallel Systems, Full Stack Development (frontend and backend), Scalable Enterprise

Platforms and Applications, Application Security and Incident Management, Android,

iOS, and Machine Learning.

• You have a spark that separates you from the crowd and ability to think out of the box and

on your feet

• You possess multi-dimensional skills that make you a valuable co-worker in a fast,

changing and ambiguous environment

• You have the ability to learn other coding languages as needed real quick

• You are comfortable in working with a team that deals with ambiguity every day

Requirements:

• Should be a go-getter, ready to shoulder more responsibilities, shows enthusiasm and interest in work.
• Excellent core Python skills including threading, dictionary, OOPS Concept, Data structure, Web service.
• Should have work experience on following stacks/libraries: Flask
• Familiarity with some ORM (Object Relational Mapper) libraries
• Able to integrate multiple data sources and databases into one system
• Understanding of the threading limitations of Python, and multi-process architecture Familiarity with event-driven programming in Python
• Basic understanding of front-end technologies, such as Angular, JavaScript, HTML5 and CSS3
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Understanding of accessibility and security compliance

Experience in both RDBMS(MySQL), NoSQL databases (MongoDB, HDFS, HIVE etc) or in-memory caching technologies such as ehcache etc is preferable

Hello to the Amazing Devs out there,

We're ToastApp. We're on a mission to revamp the Dine-In experience for the customers as well as for the restaurants.

We're growing rapidly and this search for a new techie is to enable us and push for exponential growth. This is where you come in. You're a proactive, sharp and self-motivated individual who is eager to learn and take ownership across our applications. You love communicating and working with others in your team towards success, taking us from where we are now to where we want to be!

Our ideal candidate has:

Strong knowledge of Python (3+ years)

Experience with Redis and queues (Celery/Dramatiq)

Strong knowledge of MongoDB and PSQL DBs

Experience with modern APIs based on REST (Flask, FastAPI)

Fluent English and excellent communication skills

Passion for writing clean code and tests

Nice to have:

Experience creating products for developers, data engineers and/or data consumers

Experience with ElasticSearch

Hands-on approach and is proactive

A keen eye for detail, striving for perfection

Our tech stack:

Python, Flask

Redis

RabbitMQ

Mongo, MySQL

Github

On a typical day, you will:

Uphold our high engineering standards and bring consistency to our product development

Create and develop new functionalities as well as maintain existing ones

Write clean and scalable code

Write code-reviews

Learn best practices from other team members

Benefits:

Our team is based out of Hyderabad. We believe the best work happens when given lots of uninterrupted time that's free of distractions.

8L - 28L Based on experience

ESOPs

22 days holidays

Performance-based Quarterly Bonus

We are looking for “Backend Developer " for Goregaon (Mumbai)/ Lucknow location.

Experience: 3 - 5 Years

Notice Period: up to 30 days

Location:Goregaon (Mumbai)/ Lucknow

Job description:

Should have 3+ years of experience in Python and Django/Django REST Framework

Candidate need to perform the role of the Python/Django Developer who has to build high-quality, innovative, and fully performing software that complies with coding standards and technical design.

Design and develop secure and scalable code with unit tests, and documentation.

Strong understanding of engineering best practices, requirement gathering and analysis.

Excellent detail-oriented, problem-solving skills and the ability to quickly learn and apply new concepts, principles and solutions.

Technologies:

Django, Python

Nginx, Gunicorn, MySQL/Oracle

Shell Commands, SSH, SSL Certificate, HTTP/HTTPS

Skills Required:

• Expert in Python, with expert-level knowledge of Django REST Framework
• Strong understanding of ORM (Object Relational Mapper) libraries
• Strong knowledge of building RESTful APIs using Python (Django Rest Framework)
• Proficient understanding of code versioning tools Github
• Experience working in Linux and shell scripting
• Experience with developing user authentication and authorization solutions and knowledge of security compliance is a plus
• Good to have knowledge about front-end technologies (like JavaScript and HTML5)
• Strong unit test and debugging skills
• Must have good communication skills (verbal and written)
• Ability to work in a fast-paced environment with minimal supervision

Please provide the following details:

• Current Location:
• Present CTC
• Expected CTC
• Notice Period

• Working in high paced competitive stock trading environment with core web app development, scripting, data interpretation and manipulation skills
• Designing, creating and maintaining our in-house software for business requirements
• Work on innovative ideas to improve the user experience of our internal systems and applications which are used by the trading teams
• Improve on existing tools to make trade monitoring systems robust and more reliable

Ideal candidate should have:

• Engineering degree in Computer Science (preferred) or any other discipline
• Experience on Python web app development (Preferably Django)
• Ability to work as a full stack developer
• Experience in Shell/Perl or Python scripting
• Prior experience of Linux or Unix based operating systems
• Ability to create automation scripts
• Experience/Knowledge of financial industry
• Ability to work in fast paced environment under pressure and manage multiple high priority projects
• Willingness to learn and work on new technologies
• Excellent communication skills

Candidates should have worked with Startups (IT Product Firms)

Should be from B2C Firms/Product/SaaS Firms

Key Skills: Python, Golang, Java, Distributed Systems, Cloud, Microservices Architecture, MVC, Design Patterns, Data Structure, Algorithms

Your Experience Across The Years in the Roles You’ve Played

• 6+ years of technology experience (at least 2 years in direct engineering management)
• Managing a 5-15 member engineering team in an agile product org
• Track record of collaborative working with multiple stakeholders
• Planning and analysis with effective communication skills

You’ll Be Improving & Responsible For

• Our products engineering team that works on initiatives fuelling the growth of our recent health retail insurance products
• Collaboration across cross-functional stakeholders to ensure delivery timelines are met
• Implementing product engineering best practices, and evangelizing them within the org
• Engineering management with a strong sense of ownership
• Problem solving with a clear and analytical approach and organized work habits
• Technological innovation in agile product engineering scenarios
• Product and business management principles and metrics