Senior Software Engineer

We are looking for passionate and motivated Developers to join our growing technical team. The ideal candidate should have strong foundational knowledge in Python/Django or React with Django and be eager to work on real-time web development projects.

Open Positions:

Python Django Developer

React + Django Developer

Key Responsibilities:

• Develop, test, and maintain scalable web applications.
• Write clean, efficient, and reusable code using Django and/or React.
• Collaborate with UI/UX designers and backend developers to implement new features.
• Debug, troubleshoot, and optimize application performance.
• Participate in code reviews and contribute to team discussions.
• Stay updated with the latest web development trends and technologies.

Requirements:

• Basic to strong knowledge of Python and Django framework.
• Familiarity with React.js (for React + Django role).
• Understanding of REST APIs and database concepts.
• Knowledge of HTML, CSS, and JavaScript.
• Strong problem-solving and logical thinking skills.
• Good communication and teamwork abilities.
• Freshers and career restart candidates are welcome to apply.

More Info:

Company: Altos Technologies

Website: www.altostechnologies.in

Job Type: Permanent Job

Industry: IT / Web Development

Function: Software Development

Employment Type: Full-time

Location: Kochi & Chennai

AI-Native Software Developer Intern

Build real AI agents used daily across the company

We’re looking for a high-agency, AI-native software developer intern to help us build internal AI agents that improve productivity across our entire company (80–100 people using them daily).

You will ship real systems, used by real teams, with real impact.

If you’ve never built anything outside coursework, this role is probably not a fit.

What You’ll Work On

You will work directly on designing, building, deploying, and iterating AI agents that power internal workflows.

Examples of problems you may tackle:

Internal AI agents for:

• Knowledge retrieval across Notion / docs / Slack
• Automated report generation
• Customer support assistance
• Process automation (ops, hiring, onboarding, etc.)
• Decision-support copilots
• Prompt engineering + structured outputs + tool-using agents

Building workflows using:

• LLM APIs
• Vector databases
• Agent frameworks
• Internal dashboards
• Improving reliability, latency, cost, and usability of AI systems
• Designing real UX around AI tools (not just scripts)

You will own features end-to-end:

• Problem understanding
• Solution design
• Implementation
• Testing
• Deployment
• Iteration based on user feedback

What We Expect From You

You must:

• Be AI-native: you actively use tools like:
• ChatGPT / Claude / Cursor / Copilot
• AI for debugging, scaffolding, refactoring
• Prompt iteration
• Rapid prototyping
• Be comfortable with at least one programming language (Python, TypeScript, JS, etc.)
• Have strong critical thinking
• You question requirements
• You think about edge cases
• You optimize systems, not just make them “work”
• Be high agency
• You don’t wait for step-by-step instructions
• You proactively propose solutions
• You take ownership of outcomes
• Be able to learn fast on the job

Help will be provided but you will not be spoonfed.

Absolute Requirement (Non-Negotiable)

If you have not built any side projects with a visible output, you will most likely be rejected.

We expect at least one of:

• A deployed web app
• A GitHub repo with meaningful commits
• A working AI tool
• A live demo link
• A product you built and shipped
• An agent, automation, bot, or workflow you created

Bonus Points (Strong Signals)

These are not required but will strongly differentiate you:

• Built projects using:
• LLM APIs (OpenAI, Anthropic, etc.)
• LangChain / LlamaIndex / custom agent frameworks
• Vector DBs like Pinecone, Weaviate, FAISS
• RAG systems
• Experience deploying:
• Vercel, Fly.io, Render, AWS, etc.
• Built internal tools for a team before
• Strong product intuition (you care about UX, not just code)
• Experience automating your own workflows using scripts or AI

What You’ll Gain

You will get:

• Real experience building AI agents used daily
• Ownership over production systems
• Deep exposure to:
• AI architecture
• Product thinking
• Iterative engineering
• Tradeoffs (cost vs latency vs accuracy)
• A portfolio that actually means something in 2026
• A strong shot at long-term roles based on performance

If you perform well, you won’t leave with a certificate, you'll leave with real-world building experience.

Who This Is Perfect For

• People who already build things for fun
• People who automate their own life with scripts/tools
• People who learn by shipping
• People who prefer responsibility over structure
• People who are excited by ambiguity

Who This Is Not For

Be honest with yourself:

• If you need step-by-step instructions
• If you avoid open-ended problems
• If you’ve never built anything outside assignments
• If you dislike using AI tools while coding

This will be frustrating for you.

How To Apply

Send:

• Your GitHub
• Links to projects (deployed preferred)
• A short note explaining:
• What you built
• Why you built it
• What you’d improve if you had more time

Strong portfolios beat strong resumes.

We're looking for an experienced Full-Stack Engineer who can architect and build AI-powered agent systems from the ground up. You'll work across the entire stack—from designing scalable backend services and LLM orchestration pipelines to creating frontend interfaces for agent interactions through widgets, bots, plugins, and browser extensions.

You should be fluent in modern backend technologies, AI/LLM integration patterns, and frontend development, with strong systems design thinking and the ability to navigate the complexities of building reliable AI applications.

Note: This is an on-site, 6-day-a-week role. We are in a critical product development phase where sthe peed of iteration directly determines market success. At this early stage, speed of execution and clarity of thought are our strongest moats, and we are doubling down on both as we build through our 0→1 journey.

WHAT YOU BRING:

You take ownership of complex technical challenges end to end, from system architecture to deployment, and thrive in a lean team where every person is a builder. You maintain a strong bias for action, moving quickly to prototype and validate AI agent capabilities while building production-grade systems. You consistently deliver reliable, scalable solutions that leverage AI effectively — whether it's designing robust prompt chains, implementing RAG systems, building conversational interfaces, or creating seamless browser extensions.

You earn trust through technical depth, reliable execution, and the ability to bridge AI capabilities with practical business needs. Above all, you are obsessed with building intelligent systems that actually work. You think deeply about system reliability, performance, cost optimization, and you're motivated by creating AI experiences that deliver real value to our enterprise customers.

WHAT YOU WILL DO:

Your primary responsibility (95% of your time) will be designing and building AI agent systems across the full stack. Specifically, you will:

• Architect and implement scalable backend services for AI agent orchestration, including LLM integration, prompt management, context handling, and conversation state management.
• Design and build robust AI pipelines — implementing RAG systems, agent workflows, tool calling, and chain-of-thought reasoning patterns.
• Develop frontend interfaces for AI interactions including embeddable widgets, Chrome extensions, chat interfaces, and integration plugins for third-party platforms.
• Optimize LLM operations — managing token usage, implementing caching strategies, handling rate limits, and building evaluation frameworks for agent performance.
• Build observability and monitoring systems for AI agents, including prompt versioning, conversation analytics, and quality assurance pipelines.
• Collaborate on system design decisions around AI infrastructure, model selection, vector databases, and real-time agent capabilities.
• Stay current with AI/LLM developments and pragmatically adopt new techniques (function calling, multi-agent systems, advanced prompting strategies) where they add value.

BASIC QUALIFICATIONS:

• 4–6 years of full-stack development experience, with at least 1 year working with LLMs and AI systems.
• Strong backend engineering skills: proficiency in Node.js, Python, or similar; experience with API design, database systems, and distributed architectures.
• Hands-on AI/LLM experience: prompt engineering, working with OpenAI/Anthropic/Google APIs, implementing RAG, managing context windows, and optimizing for latency/cost.
• Frontend development capabilities: JavaScript/TypeScript, React or Vue, browser extension development, and building embeddable widgets.
• Systems design thinking: ability to architect scalable, fault-tolerant systems that handle the unique challenges of AI applications (non-determinism, latency, cost).
• Experience with AI operations: prompt versioning, A/B testing for prompts, monitoring agent behavior, and implementing guardrails.
• Understanding of vector databases, embedding models, and semantic search implementations.
• Comfortable working in fast-moving, startup-style environments with high ownership.

PREFERRED QUALIFICATIONS:

• Experience with advanced LLM techniques: fine-tuning, function calling, agent frameworks (LangChain, LlamaIndex, AutoGPT patterns).
• Familiarity with ML ops tools and practices for production AI systems.
• Prior work on conversational AI, chatbots, or virtual assistants at scale.
• Experience with real-time systems, WebSockets, and streaming responses.
• Knowledge of browser automation, web scraping, or RPA technologies.
• Experience with multi-tenant SaaS architectures and enterprise security requirements.
• Contributions to open-source AI/LLM projects or published work in the field.

WHAT WE OFFER:

• Competitive salary + meaningful equity.
• High ownership and the opportunity to shape product direction.
• Direct impact on cutting-edge AI product development.
• A collaborative team that values clarity, autonomy, and velocity.

Quickly adapt to our startup environment which is both demanding and fast-paced (but is also a lot of fun)

Eager in learning new concepts, technologies and be productive in a short time

Convert a raw idea into usable real-life software products

Good understanding and working knowledge of technologies worked

Demonstrate good problem-solving skills

Write modular, readable, and maintainable code

Own and be able to manage a small to medium-sized project

Demonstrate the ability to guide and coach a new team member or fresher.

Essential Job Functions:

1. Implement application components and systems according to department standards and guidelines.
2. Work with product and designers to translate requirements into accurate representations for the web.
3. Analyze, design, code, debug, and test business applications.
4. Code reviews in accordance with team processes/standards.
5. Understand and work with data in varying degrees of complexity and scale.
6. Responsible for planning, processing and performing all jobs in an efficient manner.
7. Provide assistance to testers and support personnel as needed to determine system problems.
8. Resolve problems involved with integrating new technologies with systems.

* Essential functions are the basic job duties that an employee must be able to perform, with or without reasonable accommodation.  The function is considered essential if the reason the position exists is to perform that function.

Supportive Job Functions:

1. Remain knowledgeable of new emerging technologies and their impact on internal systems.
2. Available to work on call when needed.
3. Perform other miscellaneous duties as assigned by management.

*These tasks do not meet the Americans with Disabilities Act definition of essential job functions and usually equal 5% or less of time spent.  However, these tasks still constitute important performance aspects of the job.

Knowledge, Skill, and Abilities:

1. Experience using Python, JavaScript, and React.
2. Experience with web services and RESTful APIs.
3. Experience in cloud infrastructure
4. Experience with Sql and NoSql databases
5. Familiarity with modern CI/CD methods
6. Ability to organize, prioritize, and handle multiple assignments on a daily basis.
7. Strong and effective inter-personal and communication skills
8. Ability to interact professionally with a diverse group of clients and staff.
9. Must be able to work flexible hours on-site and remote.
10. Must be able to coordinate with other staff and provide technological leadership.
11. Ability to work in a complex, dynamic team environment with minimal supervision.
12. Must possess good organizational skills.

Education, Experience, and Certification:

1. Associate’s or bachelor’s degree preferred (Computer Science, Engineer, etc.), but equivalent work experience in a technology related area may substitute.
2. 5+ years relevant experience, required. *
3. Experience using version control daily in a developer environment.
4. Experience with Python, JavaScript, and React is required.
5. Experience using rapid development frameworks like Django or Flask.
6. Experience using front end build tools.