Service Engineer

Urgent Hiring – Home Care Associates

Locations: Mumbai (Parel) | Belgaum | Bangalore (Electronic City)

Join Zeuron.AI – a fast-growing health-tech startup transforming wellness through AI & neurotechnology!

Role Overview:

Be on the field assisting users with our innovative health device during booked sessions. Guide, support, and ensure a smooth user experience.

Requirements:

✔ Must own a two-wheeler & be open to travel

✔ Basic English & Hindi communication

✔ Science background (12th/Diploma preferred)

✔ Passion for healthcare & field work

Salary: ₹18,000 – ₹20,000 + Incentives

Why Join Us?

• Fast hiring & quick onboarding
• High growth opportunity in health-tech
• Incentives + field exposure

Apply Now – Limited Positions!

Send your details or refer someone immediately.

About the role:

Unico Connect is an Al-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies. We are hiring a Senior Al Engineer for a dedicated client engagement focused on building an Al-powered application builder platform - a product where users describe software in plain English and the system generates, previews, and iteratively refines working code. The mandatory requirement for this role is hands-on production experience shipping LLMpowered systems with agent architectures, with experience in code generation or developer tooling contexts a strong advantage. The role is product-focused and deeply hands-on. You will own everything between the user's prompt and correct code landing in the project: the agentic loop, code generation pipeline, context management, evaluation suite, and model cost strategy. You will work alongside the Senior MLOps Engineer who operationalises the infrastructure around your system, and collaborate closely with backend, frontend, and DevOps engineers.

Responsibilities:

Agent architecture: Design and own the agentic loop for the platform - request interpretation, planning, tool-calling sequence (read file, edit file, run build, search code, install package), and stop conditions. Make and revisit architectural decisions on singleagent vs. multi-agent designs, including planner/executor splits and dedicated buildrepair sub-agents.

Code generation pipeline: Own the end-to-end generation flow: task classification, context gathering, planning, targeted edits, verification, and commit. Implement diff/search-replace-based file editing with fuzzy matching and fallback strategies. Enforce scope discipline so the agent makes minimal diffs and does not modify code it was not asked to touch.

Self-repair loop: Build and tune the automated repair loop that pipes compiler, lint, build, and runtime errors back to the model with retry budgets and model escalation. This loop is the primary quality lever - the difference between 60-70% and 90%+ build success rates.

Context management: Build file-relevance retrieval so the agent sees the right files, not the whole codebase: dependency graphs, AST/tree-sitter-based chunking, embeddings, recency signals, and hybrid retrieval. Implement conversation summarisation and memory for long sessions, and address long-project degradation through codebase summaries and periodic consistency passes. Own token budgeting and prompt caching strategy.

Prompt engineering as a discipline: Own the system prompt and per-task prompt variants (new feature, bug fix, styling change). Maintain few-shot examples and enforce coding conventions, stack rules, and prohibited behaviours such as no hardcoded secrets and no whole-file rewrites. Version prompts like code with changelogs and rollback capability.

Evaluation and quality measurement: Design and own the evaluation suite: representative test prompts run on every prompt and model change, scored on build success rate, instruction adherence, and output quality including LLM-as-judge and visual/screenshot checks where relevant. Define regression gates that block qualitydegrading changes from shipping. Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time. This responsibility is nonnegotiable at this level. 

Model strategy and cost: Design model routing - cheap and fast models for classification and small edits, frontier models for complex generation. Drive cost optimisation through prompt caching, diff-based edits over full-file rewrites, and tighter context selection. Track cost per agent run and tokens per task; evaluate new model releases against the eval suite and lead migrations when results justify it.

Safety and reliability of agent behaviour: Defend against prompt injection from user content and fetched web content. Ensure secrets never appear in generated client code. Define what the agent's tools may and may not do in collaboration with the platform team. Contribute to output moderation and abuse-pattern awareness.

Mentorship and engineering standards: Run code reviews, define engineering conventions for Al work, and raise the engineering bar across the Al team. Work closely with the Senior MLOps Engineer on handoff of eval design, prompt configurations, and model routing logic.

Requirements:

Hands-on production ownership of LLM-powered systems with agent architectures (mandatory). Must have personally shipped and operated at least one complex production Al system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost. POCs, internal demos, and tutorialgrade work do not qualify.

5+ years of professional software or Al engineering experience, with at least 3 years focused on LLM applications, Al engineering, or production Al systems. Candidates with strong backend backgrounds and a clear, substantive pivot into LLM systems qualify.

Strong Python proficiency and service development. Production-grade Python with FastAPI or equivalent: type hints, async patterns, streaming responses, testing, and packaging. Not notebook-only. 

Depth across LLM APIs and agent systems. Production experience with at least two of OpenAl, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together). Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, Llamalndex Agents) or hand-rolled equivalent. Hands-on with tool calling, structured outputs, and multi-step reasoning.

Demonstrated, systematic evaluation practice - non-negotiable. Must have built evaluation harnesses that gate production releases, not ad-hoc testing. Hands-on with at least one of LangSmith, Langfuse, Promptfoo, Ragas, or DeepEval. Candidates with no systematic answer to evaluation should not be considered at senior level regardless of other strengths.

Cost discipline for production Al. Track record of measurable cost optimisation on production Al features. Able to speak in specifics: cost per request, savings achieved through caching or model routing, context reduction decisions.

AWS working knowledge. Hands-on with EC2, S3, IAM, and Docker. Comfort with CI/CD workflows and deploying Al services.

Awareness of LLM security failure modes. Familiar with prompt injection patterns, understands that system prompt rules alone are insufficient, and has experience with output validation and content safety in production.

Nice to have: experience with AST/tree-sitter tooling, diff-based editing systems, or compiler-adjacent work; MCP server authoring; open-source Al contributions; published technical writing on LLM systems; multi-modal model experience; fine-tuning exposure (LORA, QLORA, PEFT).

Candidate must have 6+ years of backend engineering experience, with 1–2 years leading engineers or owning major systems.

Candidate must be from a product-based organization with a startup mindset.

Must be strong in one core backend language: Node.js, Go, Java, or Python.

Deep understanding of distributed systems, caching, high availability, and microservices architecture.

Hands-on experience with AWS/GCP, Docker, Kubernetes, and CI/CD pipelines.

Strong command over system design, data structures, performance tuning, and scalable architecture

Ability to partner with Product, Data, Infrastructure, and lead end-to-end backend roadmap execution.

• Prospecting leads and contacting them to pitch the product/ service
• Setting up meetings with the prospective clients
• Presenting product/ service demonstrations to the client
• Establishing new business links
• Participate in conferences, exhibitions, and industry meet-ups for business development
• Sales reporting and reviewing performance
• Negotiating contracts to arrive at the best deal for the client and organization both
• Working towards achieving the sales target
• Conduct market research to evaluate gaps, opportunities, and alien needs
• Seek new opportunities through networking, cold calling, and social media channels
• Collaborate within teams to achieve better results

Hashtag Labs is looking for MERN stack developer who is an expert in MongoDB, Express, React and Node. He/she should be proficient in JavaScript and use HTML, CSS and JavaScript to handle front-end operations and JavaScript with Node.js to handle back-end operations.

Roles and Responsibilities:-

• Ability to translate Wireframes into functional web apps.
• Binding of UI elements to JavaScript object models
• Creating RESTful services with Node.js
• MERN stack developer must have proven experience in front & back-end development
• Work in a cross-functional team to deliver a complete user experience
• React.JS NodeJS developer must know MongoDB, Express, Node.js, & React.
• Create Unit and Integration tests to ensure the quality of code
• Be responsive to change requests and feature requests
• Write code that is cross-platform and cross-device compatible
• MERN full stack developer must have the ability to wear many hats and learn new technologies quickly
• For MERN stack developer job, candidate must have good Knowledge of Node Debugging
• Understanding & proficiency in REST APIs.
• MERN stack developers should know Git Repository and Jira.
• Integration of data storage solutions [RDBMS, NoSQL DB]

Experience: 2+ years

Job Location: Lucknow, Uttar Pradesh

Embedded System Engineer

Working on Embedded programming on the microcontroller, Linux/Android OS development

Working on component sourcing, PCB Design and fabrication

Working on assembly and testing

Working on field deployment and Testing

Skills:

Embedded Systems

C Programming

Must be exceptionally good in Embedded Systems C programming, testing/ debugging and in advanced C concepts

Capable of working in Embedded Systems based projects based on 8 and 32 bit microcontrollers (STM32)

Experience with communication protocols and peripherals like UART, SPI, RTC, Ethernet

Hands on experience in IDE like Keil, AVR Studio, MPLAB

Strong documentation and writing skills

Work Experience

1-3 years preferable, fresher with good embedded system knowledge can also apply

About The Company :

SCIGON was founded in 2008 by technology practitioners with a people-focused mindset. We continually strive to build on a track record of success, establishing new avenues for capabilities and growth. Based in Chicago, SCIGON offers a complete suite of offerings to meet enterprise and public sector customer technical, engineering and product needs. SCIGON's professionals advance client initiatives with a high degree of quality and efficiency. SCIGON has received broad recognition nationally and has been recognized through industry awards, media coverage, and several case studies Our goal is to provide fresh and effective ideas for mutual success. Our Mission: SCIGON is committed to providing an innovative approach and solutions that enable our clients and partners to succeed. While knowledge, experience and technology provide the tools with which we reach these aims, we place the most value on relationships.

We focus on understanding customer and partner needs, bring a collaborative approach to the discussion, and work hand-in-hand to identify effective strategies that intersect outcomes with the business drivers that underpin needs. Our Vision: Understanding client and partner needs, and to working as a team to meet mutual objectives. Our company culture is also centered on a commitment to sustainability, as well as social and economic responsibility

Frequently Asked Questions :

Why work for us ?

It would be a Challenging, grounds up a promising circumstance for you. You get an opportunity to chip away at great technologies alongside stunning specialists with strong financial strength.

Also, we have some Employee Value Propositions :

- An outstanding work culture :

- Remote work :

- Work life balance :

- Provident fund Professional growth through our Learning and development

Job Responsibilities

What you’ll do:

• You will be responsible for the delivery of the application/ feature/ module your team will be working on.
• Write/Review Code every day in addition to pairing with team members on functional and nonfunctional requirements and spread design philosophy, goals and improvements to code quality across the team
• Ensure all code is thoroughly covered by automated tests and that all features meet quality checks before deployment.
• Contributing to the constant improvement of practices and processes in the team.
• Coordinate with cross-functional teams (Product Management, UX Design, Architects, Developers, QA) to define and execute the feature roadmap.
• Research new technologies and tools and share your learning with the rest of the team.
• Provides mentoring and guidance to other team members, including new hires.

Senior Software engineer - iOS

Your Skill Set

What makes you a great fit for our team:

Desired Skills & Experience:

• 5+ years of overall experience with iOS app development
• Design, build and maintain high performance, reusable, and reliable Swift code
• Developed and published at least 1 application in Swift
• Experience in media capturing, editing, and playback using AVFoundation
• Experience in writing unit-tests
• Experience with offline storage, threading, and performance tuning
• Understanding of Apple’s human interface principles and design guidelines
• Good understanding of REST APIs
• Solid grasp of algorithms, memory management, object-oriented programming
• Extensive experience in detecting and correcting memory usage issues as well as optimizing  code for application performance
• You have excellent written and oral communication skills
• Experience in Agile Software development and the Scrum methodologies 

Good to have:

Knowledge about MVVM along coordinator pattern and Clean architecture is a huge plus

Exposure in creating Video and Media rich applications

Experience with Continuous Integration

Experience working with product-based organizations

Experience working in a Startup environment