Staff Software Engineer, AI Agents

About Asha Health

Asha Health helps medical practices launch their own AI clinics. We're backed by Y Combinator, General Catalyst, 186 Ventures, Reach Capital and many more. We recently raised an oversubscribed seed round from some of the best investors in Silicon Valley. Our team includes AI product leaders from companies like Google, physician executives from major health systems, and more.

About the Role

We're looking for a top 0.01% Software Engineer to join our engineering team in our Bangalore office.

4.6 fundamentally changed the game, which means that high intelligence, high agency engineers can now do the work of 10+ good engineers. It doesn't make sense to have anyone but the best on the team.

Since low level coding has become easier, what we expect from engineers on our team has expanded. Engineers on our team are expected to:

• Ship features end to end at a rapid pace
• Deeply research the domain and be their own product managers
• Ensure reliability and quality is best-in-class
• Design robust eng architecture, and develop testing and observability tools for each feature pre-launch
• Build each feature with deep customer empathy, meaning planning out and building stellar UX yourself

This means to thrive in a startup environment like ours, you not only need to be a stellar engineer, but you need to:

1. Be super adept with AI development tools and building the AI systems that build your features for you (Conductor, Browser agents, QA agents, Ralph loops, adverserial agents, and more).
2. Have exceptional product and UX taste, meaning you can ship features that are more effective than those historically designed by teams of product managers and designers.
3. Take the highest level of ownership around feature outcomes, reliability, and observability.

Other Points to Note

1. We are growing rapidly, our work has impact on tens of thousands of patients if not more.
2. On our team, everything you do is on the bleeding edge of applied AI.
3. We expect a high level of commitment from everyone on the team, most folks work 6 days and lead every project with intensity. It's a high ask, and we only bring on the best people. We compensate significantly above market, accordingly.

6 days WFO.

Strong Backend Node.js Developer Profile

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Mandatory (Experience 1) – Must have 6+ years of hands-on Backend Engineering experience using Node.js building production-grade systems for B2C products at meaningful consumer scale

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Mandatory (Experience 2) – Must be AI-native in their own engineering workflow: already uses LLMs and agentic tooling across the SDLC, from design and code generation through testing and debugging

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Mandatory (Experience 3) – Must have owned backend architecture end to end, including greenfield builds. Should be able to make early architecture calls and reason clearly about service boundaries, data flow, caching, queueing, failure modes, scalability, and reliability trade-offs under real constraints.

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Mandatory (Experience 4) – Must have a solid understanding of backend fundamentals, including API development, service-oriented architecture, data structures, algorithms, and clean coding practices

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Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs and backend services, including integrations with external systems and third-party platforms

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Mandatory (Experience 6) – Must have strong experience working with databases (SQL and/or NoSQL), including efficient data modeling, query optimization, and performance tuning

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Mandatory (Company) – Must have worked in B2C product companies / startups at meaningful consumer scale. (WealthTech, FinTech, or high-growth consumer product background is highly preferred)

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Mandatory (Stability) – Must have a stable career history, with consistent tenure across previous companies; frequent job-hopping will not be considered

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Mandatory (AI Product) – Must have experience building and shipping products that use LLMs and agentic workflows to end users.

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Mandatory (Exclusion) – Candidates currently working at Stable Money will not be considered

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Mandatory (Note) – Seed-funded WealthTech startup. Candidate must be comfortable in an early-stage, fast-paced environment with shifting priorities

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Mandatory (Note) – Founding tech team role. Work from office, 6 days a week. Candidate must be willing to own the backend end to end and set engineering standards

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Preferred (College) – Tier1 engineering college is a plus plus

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Preferred (Note) – Previous founding engineer or early-team startup experience is a plus.

Role

We are looking for a Full Stack Engineer who can own the entire technical stack, design systems that scale, and ship products fast. You will work across frontend, backend, and AI systems, making key architectural decisions while building a product used by real users.

This role offers high ownership, where engineers move ideas to production quickly and take responsibility for both technical decisions and product impact.

What would you do?

• Build and own the end-to-end platform using React, Node.js microservices, Python AI agents, and AWS.
• Design and implement scalable system architecture, including caching, databases, and state management between AI and UI.
• Develop AI-powered backend services and orchestrate LLM workflows using modern frameworks.
• Build highly interactive front-end experiences using modern React and real-time communication tools.
• Define and maintain engineering best practices, including CI/CD pipelines, monorepo structures, and development workflows.
• Collaborate closely with users and product teams to identify problems and ship impactful solutions.
• Continuously simplify systems by removing unnecessary complexity and keeping architecture clean.

Who should apply?

• Engineers with 4+ years of experience building and shipping production-grade products.
• Strong understanding of system design, architecture, and scalable backend systems.
• Hands-on experience with Python (FastAPI, async systems) and LLM-based applications.
• Proficiency in JavaScript / TypeScript with Node.js and modern backend frameworks.
• Experience building modern frontend applications using React (React 18+).
• Familiarity with databases such as Redis, PostgreSQL, or MongoDB, and designing scalable APIs.
• Engineers comfortable working in fast-paced environments with high ownership and minimal process overhead.

Technical Skills

• Backend: Node.js, Express, Python, FastAPI
• Frontend: React (React 18+), interactive UI development
• AI/LLM Systems: LLM orchestration, multi-model integrations
• Databases: Redis, PostgreSQL, MongoDB
• Infrastructure: AWS, CI/CD pipelines, microservices architecture
• Real-time Systems: Socket.IO, Server-Sent Events (SSE)

About the Role

We're looking for a hands-on AI Architect to lead the design and delivery of AI-native applications. You will define the AI stack, establish engineering standards, and drive adoption of AI-assisted development across teams.

Responsibilities

• Architect and build production-grade AI applications.
• Evaluate and standardize AI frameworks, tools, and platforms.
• Design agentic systems, RAG pipelines, and AI workflows.
• Establish AI evaluation, testing, guardrails, and observability practices.
• Drive AI-native development and delivery acceleration initiatives.
• Partner with engineering and product teams on technical roadmap decisions.

Requirements

• 7+ years of software engineering experience.
• Strong experience with LLMs, RAG, embeddings, prompt engineering, and agent frameworks.
• Experience with LangGraph, AutoGen, MCP, or similar ecosystems.
• Hands-on experience with AI evaluations (DeepEval, Ragas), guardrails, and structured outputs.
• Strong Python and TypeScript/Java skills.
• Experience with Kubernetes, CI/CD, IaC, observability, and event-driven architectures.
• Proven experience shipping AI applications to production.

Job Title : Python Backend Engineer (with MLOps & LLMOps Experience)

Experience : 4 to 8 Years

Location : Gurgaon Sector - 43

Employment Type : Full-time

Job Summary :

We are looking for an experienced Python Backend Engineer with a strong background in FastAPI, Django, and hands-on exposure to MLOps and LLMOps practices.

The ideal candidate will be responsible for building scalable backend solutions, integrating AI/ML models into production environments, and implementing efficient pipelines for machine learning and large language model operations.

Mandatory Skills : Python, FastAPI, Django, MLOps, LLMOps, REST API development, Docker, Kubernetes, Cloud (AWS/Azure/GCP), CI/CD.

Key Responsibilities :

• Develop, optimize, and maintain backend services using Python (FastAPI, Django).
• Design and implement API endpoints for high-performance and secure data exchange.
• Collaborate with data science teams to deploy ML/LLM models into production using MLOps/LLMOps best practices.
• Build and manage CI/CD pipelines for ML models and ensure seamless integration with backend systems.
• Implement model monitoring, versioning, and retraining workflows for machine learning and large language models.
• Optimize backend performance for scalability and reliability in AI-driven applications.
• Work with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) for deployment and orchestration.
• Ensure best practices in code quality, testing, and security for all backend and model deployment workflows.

Required Skills & Qualifications :

• 4 to 8 years of experience as a Backend Engineer with strong expertise in Python.
• Proficient in FastAPI and Django frameworks for API and backend development.
• Hands-on experience with MLOps and LLMOps workflows (model deployment, monitoring, scaling).
• Familiarity with machine learning model lifecycle and integration into production systems.
• Strong knowledge of RESTful APIs, microservices architecture, and asynchronous programming.
• Experience with Docker, Kubernetes, and cloud environments (AWS, Azure, or GCP).
• Exposure to CI/CD pipelines and DevOps tools.
• Good understanding of Git, version control, and testing frameworks.

Nice to Have :

• Experience with LangChain, Hugging Face, or similar LLM frameworks.
• Knowledge of data pipelines, feature engineering, and ML frameworks (TensorFlow, PyTorch, etc.).
• Understanding of vector databases (Pinecone, Chroma, etc.).

Education :

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

Your Craft:

● JavaScript/TypeScript & NodeJS flows through your fingers like a native language

● Next.js is your framework of choice for building full-stack magic

● Rust makes your heart sing when performance is non-negotiable

● Golang/Python feel like comfortable old friends (nice to have)

● MySQL/Postgres/Redis are tools you wield with intention

● AWS ecosystem is your playground, not your puzzle

● LLM/AI integration is something you've actually shipped, not just read about

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

About the Role

At Techjays, we build production-grade AI systems for global clients. We are looking for a Solution Architect who can bridge the gap between client needs and technical delivery — someone who can walk into a client room, understand their business challenges, and walk out with a compelling, technically sound AI solution.

This role sits at the intersection of pre-sales, solutioning, and delivery governance.

What You'll Do

• Own end-to-end solutioning from client discovery to architecture design
• Partner with pre-sales teams on RFPs, proposals, and client presentations
• Define architectures for LLM integrations, RAG pipelines, and agentic workflows
• Conduct architecture reviews and technical assessments for ongoing projects
• Act as a trusted technical advisor to enterprise clients during pre-sales

Key Skills

• Python, REST APIs, Microservices, Distributed Systems
• AWS / Azure / GCP, Docker, Kubernetes, CI/CD
• LLM Integrations, RAG Pipelines, AI Agents, Vector Databases
• Enterprise data architecture and integration patterns
• Strong client communication and presentation skills

Who You Are

• Client-first mindset — listens, understands, and translates business pain into technical clarity
• Strong communicator comfortable with C-level stakeholders
• High ownership — accountable for every solution you sign off on
• Collaborative across sales, delivery, and engineering

What We Offer

• Flexible work environment
• Paid holidays & flexible time off
• Medical insurance (Self & Family up to ₹4 Lakhs)
• Exposure to global clients and high-impact pre-sales engagements
• A culture of clarity, integrity, and continuous growth

Job Title: Backend Engineer – Python (AI Backend)

Location: Bangalore, India

Experience: 1–2 Years

Job Description

We are looking for a Backend Engineer with strong Python skills and hands-on exposure to AI-based applications. The candidate will be responsible for developing scalable backend services and supporting AI-powered systems such as LLM integrations, AI agents, and RAG pipelines.

Key Responsibilities

• Develop and maintain backend services using Python (FastAPI preferred)
• Build and manage RESTful APIs for frontend and AI integrations
• Support development of AI-driven features (LLMs, RAG systems, AI agents)
• Design and maintain both monolithic and microservices architectures
• Optimize database performance and backend scalability
• Work with DevOps for Docker-based deployments

Required Skills

• Strong experience in Python backend development
• Hands-on experience with FastAPI / Django / Flask
• Knowledge of REST APIs and microservices
• Experience with AI applications (LLM usage, prompt engineering basics)
• Database knowledge: MongoDB, PostgreSQL or MySQL
• Experience with Docker and basic cloud platforms (AWS/GCP/Azure)
• Hands-on experience with Redis for caching and in-memory storage

Good to Have

• Experience integrating payment gateways (Razorpay, Stripe, PayU, etc.)
• Exposure to event-driven architectures using RabbitMQ, Kafka, or Redis Streams
• Kubernetes
• Understanding of model fine-tuning concepts

Software Engineer

Onsite - HSR Bangalore

6 Days work from Office (Flexible working hours)

Product is a PowerPoint AI assistant used by consulting companies and Fortune 500 teams. A typical professional spends 1 to 3 hours creating one slide. With Product company, they create a v1 of their entire deck in 10 minutes, and make changes like “turn this table to a chart” in seconds directly within PowerPoint.

In the next 2 years, our goal at company is to forever change the way business presentations are made.

Who are we?

• small, strong team of 5
• founders are CS graduates from IIT Kharagpur with a specialisation in AI
• work 6 days a week from our office in HSR Layout in Bangalore
• funded by Y Combinator and other amazing investors
• used by consulting companies and Fortune 500 teams

Your responsibilities (in order)

• Design, implement, test, and deploy full features
• Design and implement a robust infrastructure to enable rapid development and automated testing
• Look at usage data to iterate on features

What we’re looking for

• Undergraduate or master's in Computer Science or equivalent degree
• 2+ years of backend or DevOps software engineering experience
• Experience with TypeScript (JavaScript) or Python

You’ll be a good fit if

• You want to work on a product that can change the way a very large number of people work
• The chaos of high growth and things breaking is exciting to you
• You are a workaholic, looking to upskill faster than most people think is possible. This role is not a good fit for you if you’re looking to prioritise work-life balance.
• You prefer working in-person with other smart people who are excited and passionate about what they’re building
• You love solving very hard problems at a rapid pace. We discuss timelines in days or weeks, so you’ll constantly be expected to ship really high-quality work.

Perks

• Comprehensive health insurance for you and dependents
• Workstation enhancements
• Subscriptions to AI tools such as Cursor, ChatGPT, etc.

(If there's anything else we can do to make your work more enjoyable, just ask)

If you are interested in proceeding, we would be happy to move your profile to the next stage of the evaluation process.

Kindly share the following details to help us take this forward :

• Current CTC (Fixed + Variable):
• Expected CTC:
• Notice Period (If currently serving, please mention your Last Working Day)
• Details of any active offers in hand (if applicable)
• Expected/Available Date of Joining (if applicable)
• Attach Updated CV:
• Attach Github Link / Leet code link or other:
• Current Location:
• Preffered Location:
• Reason for job Change:
• Reason for relocation (if applicable):
• Are you comfortable with 6 days wfo (flexible working hours)?( Yes / No):
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