Senior Software Engineer (Data_Ml)

Job Title: Python Developer (Full Time)

Location: Hyderabad (Onsite)

Interview: Virtual and Face to Face Interview (Last round)

Experience Required: 4 + Years  

Working Days: 5 Days

About the Role

We are seeking a highly skilled Lead Python Developer with a strong background in building scalable and secure applications. The ideal candidate will have hands-on expertise in Python frameworks, API integrations, and modern application architectures. This role requires a tech leader who can balance innovation, performance, and compliance while driving successful project delivery.

Key Responsibilities

1. Application Development

• Architect and develop robust, high-performance applications using Django, Flask, and FastAPI.

1. API Integration

• Design and implement seamless integration with third-party APIs (including travel-related APIs, payment gateways, and external service providers).

1. Data Management

• Develop and optimize ETL pipelines for structured and unstructured data using data lakes and distributed storage solutions.

1. Microservices Architecture

• Build modular, scalable applications using microservices principles for independent deployment and high availability.

1. Performance Optimization

• Enhance application performance through load balancing, caching, and query optimization to deliver superior user experiences.

1. Security & Compliance

• Apply secure coding practices, implement data encryption, and ensure compliance with industry security and privacy standards (e.g., PCI DSS, GDPR).

1. Automation & Deployment

• Utilize CI/CD pipelines, Docker/Kubernetes, and monitoring tools for automated testing, deployment, and production monitoring.

1. Collaboration

• Partner with front-end developers, product managers, and stakeholders to deliver user-centric, business-aligned solutions.

Requirements

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Technical Expertise

• 4+ years of hands-on experience with Python frameworks (Django, Flask, FastAPI).
• Proficiency in RESTful APIs, GraphQL, and asynchronous programming.
• Strong knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB) and big data tools (Spark, Kafka).
• Familiarity with Kibana, Grafana, Prometheus for monitoring and visualization.
• Experience with AWS, Azure, or Google Cloud, containerization (Docker, Kubernetes), and CI/CD tools (Jenkins, GitLab CI).
• Working knowledge of testing tools: PyTest, Selenium, SonarQube.
• Experience with API integrations, booking flows, and payment gateway integrations (travel domain knowledge is a plus, but not mandatory).

Soft Skills

• Strong problem-solving and analytical skills.
• Excellent communication, presentation, and teamwork abilities.
• Proactive, ownership-driven mindset with the ability to perform under pressure.

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)

• Strong understanding of Core Python, data structures, OOPs, exception handling, and logical problem-solving.
• Experience in at least one Python framework (FastAPI preferred, Flask/Django acceptable).
• Good knowledge of REST API development and API authentication (JWT/OAuth).
• Experience with SQL databases (MySQL/PostgreSQL) & NoSQL databases (MongoDB/Firestore).
• Basic understanding of cloud platforms (GCP or AWS).
• Experience with Git, branching strategies, and code reviews.
• Solid understanding of performance optimization and writing clean, efficient code.
• Develop, test, and maintain high-quality Python applications using FastAPI (or Flask/Django).
• Design and implement RESTful APIs with strong understanding of request/response cycles, data validation, and authentication.
• Work with SQL (MySQL/PostgreSQL) and NoSQL (MongoDB/Firestore) databases, including schema design and query optimization.
• Experience with Google Cloud (BigQuery, Dataflow, Notebooks) will be a strong plus.
• Work with cloud environments (GCP/AWS) for deployments, storage, logging, etc.
• Use version control tools such as Git/BitBucket for collaborative development.
• Support and build data pipelines using Dataflow/Beam and BigQuery if required.
• Experience with GCP services like BigQuery, Dataflow (Apache Beam), Cloud Functions, Notebooks etc
• Good to have Exposure to microservices architecture.
• Familiarity with Redis, Elasticsearch, or message queues (Pub/Sub, RabbitMQ, Kafka).
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Job description

Key Responsibilities

• Design, develop, and maintain serverless applications using AWS services such as Lambda, API Gateway, DynamoDB, and S3.
• Collaborate with front-end developers to integrate user-facing elements with server-side logic.
• Build and maintain RESTful APIs to support web and mobile applications.
• Implement security best practices for AWS services and manage IAM roles and policies.
• Optimize application performance, scalability, and reliability through monitoring and testing.
• Write clean, maintainable, and efficient code following best practices and design patterns.
• Participate in code reviews, providing constructive feedback to peers.
• Troubleshoot and debug applications, identifying performance bottlenecks and areas for improvement.
• Stay updated with emerging technologies and industry trends related to serverless architectures and Python development.

Qualifications

• Bachelors degree in Computer Science, Engineering, or related field, or equivalent experience.
• Proven experience as a Python backend developer, with a strong portfolio of serverless applications.
• Proficiency in AWS services, particularly in serverless architectures (Lambda, API Gateway, DynamoDB, etc.).
• Solid understanding of RESTful API design principles and best practices.
• Familiarity with CI/CD practices and tools (e.g., AWS CodePipeline, Jenkins).
• Experience with containerization technologies (Docker, Kubernetes) is a plus.
• Strong problem-solving skills and the ability to work independently and collaboratively.
• Excellent communication skills, both verbal and written.

Preferred Skills

• Experience with frontend technologies (JavaScript, React, Angular) is a plus.
• Knowledge of data storage solutions (SQL and NoSQL databases).
• AWS certifications (e.g., AWS Certified Developer Associate) are a plus.

We are looking for a Backend Developer who has 4-6 years of experience in designing, developing, and implementing backend services using Python and Django.

- Responsibilities-

- Design highly scalable, testable code and follow Test Driven Development methodology 

- Able to write well-organized, modularised code with test cases.

- Contribute to the design and architecture of our backend APIs and deployment of microservices

- Ensure adherence to engineering best practices and maintain the overall quality of our codebase.

- Work with the product team to translate powerful ideas into everyday business value.

- Skills-

- Back-end programming language: Python

- Familiarity with Django or Flask framework

- Familiarity with AWS and Elastic Search

- Experience in SQL and NoSQL databases with an insight into various data modeling use cases

- Experience with system & unit testing

- Familiarity with containerized deployment

- Proficiency with Git

- Sound with data structures and algorithms and have a good understanding of design patterns, software architectures

• Writing reusable, testable, and efficient code.
• Design and implementation of low-latency, high-availability, and performant applications
• Integration of user-facing elements developed by front-end developers with server-side logic
• Implementation of security and data protection
• Integration of data storage solutions

Skills And Qualifications

• Practical knowledge and understanding of web applications.
• 3+ years of good hands-on experience in Python, with knowledge of Django
• Good hands-on experience in SQL Database (MYSQL / Postgres)
• Knowledge of user authentication and authorization between multiple systems, servers, and environments
• Able to create database schemas that represent and support business processes.
• Strong unit test and debugging skills
• Proficient understanding of code versioning tools GIT.
• Has experience of working in an Agile Environment. Fluent in English (written and oral) Fluency in a second language is preferred.
• Comfortable working remotely with great communication skills for a remote work environment.

Bonus Qualifications

• Knowledge of any cloud. ( Especially Azure )

• Expert in Python. Comfortable with Web frameworks, such as Flask or Django
• Familiarity with Object Relational Mapping Libraries and ability to Integrate with Multiple Data Sources into One System
• Understanding of Limitations of Python and Multi Process Architecture. Understanding of Design Principles of Scalable Application
• Has familiarity with data frameworks in Python - Pandas or
• Good object-oriented design skills and knowledge of design
• Knowledge of key-value stores, caching, search, messaging queues
• Minimum 5 years of experience in the above