Python Developer

Role & Responsibilities

As a Senior GenAI Engineer you will own the AI layer of our product — building the features that make Zenskar intelligent. This is not a research role and not a prompt-engineering role. You will build production AI systems that enterprise clients depend on, which means reliability, observability, and rigorous evals matter as much as the AI capability itself. You own the full vertical — the model, the pipeline, and the UI.

• Build and own CS Copilot — a real-time assistant for customer success teams, spanning STT pipelines, live transcription, and LLM-powered suggestions
• Build LLM-powered document understanding features — extracting structured, reliable data from unstructured enterprise documents
• Own AI feature UIs end-to-end — you build the interface, not just the model integration layer
• Design and maintain an eval framework — define what 'working' means for each AI feature and catch regressions before users do
• Drive model selection and integration decisions — choosing the right provider and approach for each use case, managing latency and cost
• Own AI platform reliability — observability, fallback behaviour, and graceful degradation when models fail
• Work closely with product, customer success, and the full-stack engineer — AI features only matter if they are usable and trusted by real users

THE IMPACT YOU'LL MAKE-

• You will define what AI means at Zenskar — the features you ship will be the most visible and differentiated parts of the product
• CS Copilot, if done well, changes how enterprise customer success teams operate every single day — this is a high-stakes, high-visibility surface
• You will establish the engineering culture around AI reliability at Zenskar — evals, observability, and disciplined iteration
• Your work will directly accelerate enterprise deals — AI features are increasingly a buying criterion for our clients
• You will be the person who brings engineering rigour to a domain where most companies ship demos and call it a feature

Ideal Candidate

• Strong Senior GenAI / AI Backend Engineer Profiles
• Mandatory (Experience 1) – Must have 4+ years of total software development experience, with at least 2+ years working on AI/LLM-based features in production
• Mandatory (Experience 2) – Must have strong backend engineering experience using Python (FastAPI / Django preferred) and building production-grade systems
• Mandatory (Experience 3) – Must have hands-on experience building LLM-based applications, including OpenAI / Gemini / similar models in real projects
• Mandatory (Experience 4) – Must have experience with RAG (Retrieval Augmented Generation) including chunking, embeddings, and retrieval pipelines
• Mandatory (Experience 5) – Must have experience designing end-to-end AI pipelines, including chaining, tool usage, structured outputs, and handling failure cases
• Mandatory (Experience 6) – Must have experience building agentic AI systems (multi-step workflows, tool orchestration like LangGraph / CrewAI or custom agents)
• Mandatory (Experience 7) – Must have strong coding and system design skills, not just prompt engineering or experimentation
• Mandatory (Experience 8) – Must have experience shipping AI features in production, not just POCs or research projects
• Mandatory (Experience 9) – Must have experience working with APIs, backend services, and integrations
• Mandatory (Experience 10) – Must have understanding of AI system reliability, including latency, cost optimization, fallback handling, and basic eval thinking
• Mandatory (Company) – Product companies / startups, preferably Series A to Series D
• Mandatory (Note) - Candidate's overall experience should not be more than 7 Yrs
• Mandatory (Tech Stack) – Strong in Python + AI/LLM ecosystem, experience with modern AI tooling and frameworks
• Mandatory (Exclusion) – Reject profiles that are only Prompt Engineers, Data Scientists, or Frontend Engineers without strong backend + system building experience
• Preferred (Skill) – Experience with fine-tuning (LoRA / QLoRA) or open-source model deployment (vLLM / Ollama)
• Preferred (Frontend) – Basic ability to build or contribute to frontend (React or similar)
• Highly Preferred (Education) – Candidates from Tier-1 institutes (IITs, BITS, NITs, IIITs, top global universities)

JOB DESCRIPTION:

Location: Pune, Mumbai

Mode of Work : 3 days from Office

DSA(Collections, Hash maps, trees, Linkedlist and Arrays, etc), Core Oops concepts(Multithreading, Multi Processing, Polymorphism, Inheritance etc) Annotations in Spring and Spring boot, Java 8 Vital features, database Optimization, Microsevices and Rest API

• Design, develop, and maintain low-latency, high-performance enterprise applications using Core Java (Java 5.0 and above).
• Implement and integrate APIs using Spring Framework and Apache CXF.
• Build microservices-based architecture for scalable and distributed systems.
• Collaborate with cross-functional teams for high/low-level design, development, and deployment of software solutions.
• Optimize performance through efficient multithreading, memory management, and algorithm design.
• Ensure best coding practices, conduct code reviews, and perform unit/integration testing.
• Work with RDBMS (preferably Sybase) for backend data integration.
• Analyze complex business problems and deliver innovative technology solutions in the financial/trading domain.
• Work in Unix/Linux environments for deployment and troubleshooting.

Experience of atleast 9 + years in developing Java Solutions and Architecture

Mandatory Experience of working on AWS, Microservices architecture, Dockers, Kubernetes

Experience in creating architecture for Cloud Applications in AWS

Should have worked on large scale Saas application for atleast 3 years

Knowledge and experience in any of the following

Javascript, AngularJS, Python, Ruby, PHP

Driving DevOps best practices by using Docker, Kubernetes.

Excellent interpersonal, verbal and written communication skills

Location Chennai, Bengaluru, Hyderabad,

At nFerence Labs, the "Google of Biomedicine", we are building the world's first massive-scale platform for pharmaco-biomedical computing. Our platform is premised on using AI/Deep Learning (on clinical text, medical images, and other signals) and massive high-performance computing to help pharma companies perform faster and more efficient drug discovery, and also help early diagnosis of several key diseases.

We collaborate heavily with premier medical institutions such as the Mayo Clinic and build systems to get deep medical insights from patient information including patient notes and lab information, medical images, ECGs, etc. We are a well-funded company and are looking to grow on all fronts.

We are hiring an experienced backend staff engineer for our Pramana team. Our Digital Pathology-as-a-service venture, Pramana is an in-line quality assurance software suite which for the first time in the industry, provides confidence to the labs for the accuracy and applicability of their digital assets while supporting industry-standard image formats.

Pramana’s whole slide imaging system is built upon the strong hardware expertise of former Spectral Insights (that nference acquired in 2020) and the strong software expertise of nference. Modular systems with Robotic automation have allowed Pramana to reduce the reliance on several technical staff. This will significantly reduce the total costs of ownership and is a more transparent model for Pramana’s clients.

Must have

• 5+ years experience with solid backend/engineering experience in C++/ Python
• Knowledge of data structures and an eye for architecture.
• Solid CS fundamentals, fluent in multi-threaded and asynchronous programming, and a strong inclination for architecting at scale.
• Excellent technical design, problem-solving, debugging, and communication skills.
• Rapid prototyping worked on distributed systems at scale.
• Basic knowledge of SQL as well as NoSQL databases.
• Proficient in Golang/ Python, design, and concurrency patterns.

Good to have

• Proficient in writing unit tests and profiling and benchmarking golang applications
• Experience in maintaining protobuf contract
• Experience in working with GRPC and grace

Benefits:

• Be a part of the “Google of biomedicine” as recognized by the Washington Post
• Work with some of the brilliant minds of the world solving exciting real-world problems through Artificial Intelligence, Machine Learning, analytics and insights through triangulating unstructured and structured information from the biomedical literature as well as from large-scale molecular and real-world datasets.
• Our benefits package includes the best of what leading organizations provide, such as stock options, paid time off, healthcare insurance, gym/broadband reimbursement.

• 3 - 6 Years of Experience in Golang Development
• Understands requirements well and comes up with an efficient design
• Develops complex, well-backed and bug-free products.
• Estimates accurately.
• Takes well-reasoned tech decisions keeping in mind goals and trade-offs
• Become a go-to person in more than one area. Provide technical mentoring to team
• Communicates clearly, gets clarifications, and establishes expectations for all parties
• Helps establish SDLC best practices and high standards of code quality
• Demonstrates excellent problem solving & debugging skills
• Proactively identifies and resolves issues in requirements, design, and code

Ideal Candidate Profile:

• Solid experience in Golang is a must.
• Solid understanding of Apache Products.
• Should have experience in cloud computing (AWS is desired).
• Has an ability to quickly learn and contribute in multiple codebases
• Overcomes roadblocks and requires minimal oversight
• Takes initiatives to fix issues/tech debts before assigned to him/her
• Able to deep dive into the codebase and advise QA of possible regression impact
• Communicates tech decisions through design docs and tech talks
• Has delivered projects with end-to-end accountability
• Keeps track of industry trends and introduces the right tech/ tools for a given job
• Excellent understanding of software engineering practices,
• Design Patterns, Data Structures, Algorithms
• Experience in product-driven organization

Technical Experience :

• 2-6 years of Python working experience
• Expertise in at least one popular Python framework /Django/ Flask
• Knowledge of object-relational mapping d
• Familiarity with front-end technologies JavaScript and HTML5

Key Responsibilities :

• Write effective, scalable code
• Develop back-end components to improve responsiveness and overall performance
• Integrate user-facing elements into applications
• Test and debug programs5 Improve functionality

• 3+ years of experience with Ruby On Rails.
• Strong Project & Time Management Skills, along with the ability to apply these skills while working independently, or as part of a team.
• Knowledge of blockchain technology, smart contracts and cryptocurrency will be an added advantage
• Experience in fintech domain will be another added advantage
• Bachelor’s degree in computer programming, computer science, or a related field.
• Fluency or understanding of specific languages, such as Java, PHP, or Python, and operating systems may be required.