Python
Django
FlaskKey skills : Python, Numpy, Panda, SQL, ETL
Roles and Responsibilities:
- The work will involve the development of workflows triggered by events from other systems
- Design, develop, test, and deliver software solutions in the FX Derivatives group
- Analyse requirements for the solutions they deliver, to ensure that they provide the right solution
- Develop easy to use documentation for the frameworks and tools developed for adaption by other teams
Familiarity with event-driven programming in Python
- Must have unit testing and debugging skills
- Good problem solving and analytical skills
- Python packages such as NumPy, Scikit learn
- Testing and debugging applications.
- Developing back-end components.
Shubham Vishwakarma
Full Stack Developer - Averlon
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PythonAI 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)
PythonDjango
Docker
React.js Python. Django Rest Framework experience would be great, but not essential! We prioritise
quality over quantity.
Postgres with InfluxDB, Oracle, MySQL and Redis experience a plus.
Docker, Kubernetes, Helm, OpenShift and associated tooling.
AWS, especially ECS, Lambda, RDS and DynamoDB. Performance and uptime are super
important to us.
The challenge of scaling a global, distributed API to 10,000+ requests per second.
We have SDKs in a bunch of languages, so the more polyglot you are the better.
If you like writing JS and React that would be awesome too.
Go Programming (Golang)Python
Kubernetes
Position: Software Developer (Golang Developer) Requirements
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Work experience between 2 years to 6 years in building large scale high user traffic consumer facing applications.
-
Extremely proficient at writing performant, scalable and production ready code in Golang (comfortable with concepts like lambda, streams, multithreading etc)
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Should be at ease with writing neat and maintainable code.
-
Experience with NoSQL DBs like MongoDB, Cassandra or Redis is required. Knowledge
of graph DBs like Neo4j is preferred.
-
Strong in algorithms, problem solving and data structures.
-
Knowledge of TDD and experience with building applications integrated with CI-CD
pipelines (automated build, tests and deployments).
-
Exposure to micro-services with good understanding of logging and monitoring. Inter
services communication. Should know how to handle multiple versions of APIs.
-
Knowledge of Docker and Kubernetes is desirable.
-
Willing to work in a fast paced Startup.
What are we looking for:
We’re looking for a deeply skilled Senior Software Developer to work closely with the product and the open source community to build the Coredge.io vision. You'll join a highly collaborative team working along with talented engineers focusing to be the best in Cloud native ecosystem.
About the Organisation:
The team at Coredge.io is a combination of experienced and young professionals alike having many years of experience in working with Edge computing, Telecom application development and Kubernetes. The company has continuously collaborated with the open source community, universities and major industry players in furthering its goal of providing the industry with an indispensable tool to offer improved services to its customers. Coredge.io has a global market presence with its offices in US and New Delhi, India.
Amazon Web Services (AWS)Criteria:
- BE/MTech/MCA/MSc
- 3+yrs Hands on Experience in TSQL / PL SQL / PG SQL or NOSQL
- Immediate joiners preferred*
- Candidates will be selected based on logical/technical and scenario-based testing
Note: Candidates who have attended the interview process with TnS in the last 6 months will not be eligible.
Job Description:
- Technical Skills Desired:
- Experience in MS SQL Server and one of these Relational DB’s, PostgreSQL / AWS Aurora DB / MySQL / Oracle / NOSQL DBs (MongoDB / DynamoDB / DocumentDB) in an application development environment and eagerness to switch
- Design database tables, views, indexes
- Write functions and procedures for Middle Tier Development Team
- Work with any front-end developers in completing the database modules end to end (hands-on experience in parsing of JSON & XML in Stored Procedures would be an added advantage).
- Query Optimization for performance improvement
- Design & develop SSIS Packages or any other Transformation tools for ETL
- Functional Skills Desired:
- Banking / Insurance / Retail domain would be a
- Interaction with a client a
3. Good to Have Skills:
- Knowledge in a Cloud Platform (AWS / Azure)
- Knowledge on version control system (SVN / Git)
- Exposure to Quality and Process Management
- Knowledge in Agile Methodology
- Soft skills: (additional)
- Team building (attitude to train, work along, mentor juniors)
- Communication skills (all kinds)
- Quality consciousness
- Analytical acumen to all business requirements
Think out-of-box for business solution
NodeJS (Node.js)Go Programming (Golang)
PHPPython
Ruby on Rails (ROR)Python
JavaFlask- Building customer products that operate at a scale
- Working on a back-end system using Python and Java
- Working on MySQL, NoSQL, Solr, Thrift, Flask, RabbitMQ, Redis, etc.
- Working on analytics and data science
- Working on server management (Google Cloud)
- Explore different functions of building a tech product/company early in your career.
- Learn to Prioritize Work and learn the ability to decide some technical decisions vs others ata very early stage of your career
- Be instilled with the value of hard work, ownership, and self-sustainability.
- Be more actively involved in the decision-making and functioning of the company.
- Understand the great importance of personal ownership and the liberty needed to pursue that ownership
- Hungry for Growth & Learning
- Willing to go all out for an accelerated career in software engineering
- Ready to experiment things never done before – Conquer uncharted waters
- Think Out-of-the-Box – Innovative and effective solutions
- Top Gun command over technologies (Mentioned above)
- You'll learn how to target efficiency rather than perfection.
- This empowerment will help you become a better leader at a very early stage of your career.
- Join the Core team – Get real insights into building a Product and Business ground up
- Enjoy the freedom, that comes with a lot of ownership
- Challenging and fun work environment
- Flexible Work Culture – We are a target driven organization. We like hard-workers, but we adore smart-workers more!
- Unlimited Vacation policy - Work hard, and take a break when you need
PythonPosition description:
- Architecture & Design systems for Predictive analysis and writing algorithms to deal with financial data
- Must have experience on web services and APIs (REST, JSON, and similar) and creation and consumption of RESTful APIs
- Proficiently writing algorithms with Python/Pandas/Numpy; Jupyter/PyCharm
- Experience with relational and NoSQL databases (Eg. MSSQL, MongoDB, Redshift, PostgreSQL, Redis)
- Implementing Machine Learning Models using Python/R for best performance
- Working with Time Series Data & analyzing large data sets.
- Implementing financial strategies in python and generating reports to analyze the strategy results.
Primary Responsibilities:
- Writing algorithms to deal with financial data and Implementing financial strategies in (Python, SQL) and generating reports to analyze the strategy results.
Educational qualifications preferred Degree: Bachelors degree
Required Knowledge:
- Highly skilled in SQL, Python, Pandas, Numpy, Machine Learning, Predictive Modelling, Algorithm designing, OOPS concepts
- 2 - 7 years Full-Time working experience on core SQL, Python role (Non-Support)
- Bachelor’s Degree in Engineering, equivalent or higher education.
- Writing algorithms to deal with financial data and Implementing financial strategies in (Python, SQL) and generating reports to analyze the strategy results.
Python
AngularJS (1.x)Job Brief
Primary Responsibilities:
- Obtaining in-depth understanding of design and implementation of existing software product
- Performing all phases of software engineering including requirements analysis, design, estimation, and development & testing
- Applying innovation and creativity in design and implementation of features
- Designing reusable components, frameworks and libraries
- Troubleshooting production support issues post-deployment and come up with solutions as required
- Follow the processes defined by the project manager and the organization
General Requirements
- 2+ years of experience in full-stack development in python based technologies.
- Experienced in relational database technologies
- Good in data structures and algorithms
- Good written and verbal communication skills
- Self motivated and willing to learn new technologies
- Experience in AWS cloud technologies is plus
Technologies
- Python, Django
- Angular
- JavaScript, HTML, CSS technologies
- Must understand AJAX and REST
PythonDjango
Git
PostgreSQLYour Responsibilities :
1) Building highly scalable and secured applications/microservices and responsive APIs
2) Assessing the security risks associated with the platform architecture and suggesting/implementing suitable changes for the same.
3) Architect and implement back-end services to support our mobile and web clients.
4) Creating and implementing database schemas that represent and support business processes.
5) Use best software development practices and processes including unit testing, code reviews, and site monitoring post deployment.
6) Continue to research and evaluate new technologies that may improve performance and elegance of our software implementation.
7) Explore and Integrate third-party APIs when required for the project.
8) Work closely with the rest of the team to bring our features into production.
Your skills :
- Hands-on experience in Django Framework.
- Strong Knowledge of Python.
- Strong Knowledge of MVC design pattern and object oriented programming concepts.
- Strong knowledge of RDBMS like Postgresql and Database schema design.
- Experience in developing robust and secure RESTful web API and microservices using Django/Python.
- Experience in Test Driven Development.
- Experience in handling No-SQL MongoDB or similar.
- Hands-on experience in GitHub.
- Experience in CI, CD tools like jenkins.
- Experience in managing cloud-based web applications on Amazon Web Services or Google Cloud.
- You love code and up for the challenge!
NodeJS (Node.js)PHPPythonRuby on Rails (ROR)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon