HR Executive

Senior AI Engineer

Code Generation, Agent Architecture & LLM Systems

📍 Mumbai (On-site) | Full-time | 5+ 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.

We are hiring a Senior AI Engineer for a dedicated client engagement focused on building an AI-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 LLM-powered 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 single-agent vs. multi-agent designs, including planner/executor splits and dedicated build-repair 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 quality-degrading changes from shipping.

Treat evals the way engineers treat automated testing: versioned, automated, and tracked over time.

This responsibility is non-negotiable 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 AI work, and raise the engineering bar across the AI 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 AI system - agentic, multi-step, or code generation - with end-to-end ownership of architecture, evaluation, and cost.

POCs, internal demos, and tutorial-grade work do not qualify.

5+ Years of Professional Software or AI Engineering Experience

With at least 3 years focused on LLM applications, AI engineering, or production AI 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 OpenAI, Anthropic Claude, Google Gemini, or open-weight models (vLLM, Ollama, Together).

Production experience with at least one agent framework (LangGraph, CrewAI, AutoGen, LlamaIndex 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 AI

Track record of measurable cost optimisation on production AI 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 AI 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 AI contributions
• Published technical writing on LLM systems
• Multi-modal model experience
• Fine-tuning exposure (LoRA, QLoRA, PEFT)

We are looking for a proactive and goal-driven Tele caller IT Sales professional to support our sales team by generating leads, engaging with IT decision-makers, and booking qualified meetings. The ideal candidate will have a basic understanding of IT products/services and a strong ability to communicate the value to potential customers.

Key Responsibilities:

Make outbound calls to IT managers, CIOs, and purchase heads to promote products/services (servers, storage, cloud, cybersecurity, etc.).

Understand client IT requirements and pitch relevant solutions.

Generate leads and schedule meetings or demos for the field sales team.

Maintain accurate lead and call data in the CRM system.

Follow up on past leads, email campaigns, and webinar attendees.

Achieve daily/weekly call targets and monthly qualified meeting goals.

Collaborate with sales and marketing teams to align messaging.

Requirements:

Graduate in any discipline (Technical or Commerce background preferred).

2-3 years of experience in tele calling or inside sales, preferably in IT products/services.

Good knowledge of basic IT terms (servers, firewalls, cloud, etc.) is a plus.

Excellent verbal and written communication skills (English & regional language).

Strong listening, convincing, and objection-handling skills.

Experience with CRM tools, email, and Excel.

Desirable:

- Knowledge of IT/ Datacenter industry trends.

- Certification in sales/tele calling.

Key Performance Indicators (KPIs):

- Number of calls made per day.

- Leads generated and appointments scheduled.

- Conversion rate of leads to sales.

apply, If you're a motivated and results-driven tele caller & passionate about IT sales

About Cognida.ai:

Our Purpose is to boost your competitive advantage using AI and Analytics.

We Deliver tangible business impact with data-driven insights powered by AI. Drive revenue growth, increase profitability and improve operational efficiencies.

We Are technologists with keen business acumen - Forever curious, always on the front lines of technological advancements. Applying our latest learnings, and tools to solve your everyday business challenges.

We Believe the power of AI should not be the exclusive preserve of the few. Every business, regardless of its size or sector deserves the opportunity to harness the power of AI to make better decisions and drive business value.

We See a world where our AI and Analytics solutions democratise decision intelligence for all businesses. With Cognida.ai, our motto is ‘No enterprise left behind’.

Position: Python Fullstack Architect

Location: Hyderabad

Job Summary

We’re seeking a seasoned Python Fullstack Architect with 15+ years of experience to lead solution design, mentor teams, and drive technical excellence across projects. You'll work closely with stakeholders, contribute to architecture governance, and integrate modern technologies across the stack.

Key Responsibilities

• Design and review Python-based fullstack solution architectures.
• Guide development teams on best practices, modern frameworks, and cloud-native patterns.
• Engage with clients to translate business needs into scalable technical solutions.
• Stay current with tech trends and contribute to internal innovation initiatives.

Required Skills

• Strong expertise in Python (Django/Flask/FastAPI) and frontend frameworks (React, Angular, etc.).
• Cloud experience (AWS, Azure, or GCP) and DevOps/CI-CD setup.
• Familiarity with enterprise tools: RabbitMQ, Kafka, OAuth2, PostgreSQL, MongoDB.
• Solid understanding of microservices, API design, batch/stream processing.
• Strong leadership, mentoring, and architectural problem-solving skills.

Job description :

All Time Design is looking for Business Development Manager. The ideal candidate will have a track record of new business pipeline generation over the phone within an Enterprise capacity and the ability to close opportunities directly.

Job responsibilities :

• Growing revenue via prospecting, qualifying, selling and closing client accounts
• Meeting Quarterly & Annual Revenue Targets
• Managing perspective client relationships through all phases of the sales cycle
• Providing a consultative solutions sales process to prospects
• Conducting one-on-one and group sales presentations
• Calling to establish new opportunities
• Tracking customer information, forecasts and reports
• Developing and maintaining prospect and customer list based on strategic marketing data and other sources for sales leads

Requirements:

• Must have experience in SaaS/ Tech/ IT company.
• 2+ years of sales experience focused on growing existing business or new business
• Large account management or project management experience
• Proven track record for closing large and mid-size companies
• Ability to adapt, overcome objections, and learn complex solutions
• Strong time management skills
• Create new business opportunities through in-depth conversations and relationship building
• Proven track record of growing business from an established client base
• Strong time management skills
• Consistent and documented track record for achieving monthly/quarterly/annual target metrics
• Strong oral and written communication skills are a must
• Ability to work in a fast paced, team environment with revenue deadlines
• Working knowledge of computer applications such as Microsoft Office
• Must have knowledge about CRM

Job Location: Anna Nagar, Chennai. Beside VR Mall.

Job Types: Full-time, Permanent

Supplemental Pay:

• Commission pay

Shift:

• Rotational shift

Work Location: In person

About Us:

Bansal Classes in Chinchwad is a renowned educational institute specializing in IIT, JEE, and NEET coaching. We are seeking an experienced Telecaller and Counselor to join our team and contribute to our mission of nurturing future leaders.

Job Description:

• As a Telecaller and Counselor at Bansal Classes, you will play a pivotal role in guiding and assisting aspiring students and parents in their educational journey. Your responsibilities include:
• Conducting outbound calls to potential students and their parents.
• Providing information about our courses, teaching methodologies, and the institute's reputation.
• Addressing inquiries and concerns in a professional and empathetic manner.
• Assisting students and parents in selecting the most suitable courses and programs.
• Maintaining a database of inquiries and follow-ups.
• Coordinating with our academic team to ensure accurate and up-to-date information is provided.

Requirements:

• Minimum of 3 years of experience in telecalling and counseling, preferably in the education sector.
• Excellent verbal and written communication skills.
• Empathy and the ability to connect with students and parents.
• Understanding of the IIT, JEE, and NEET coaching industry is a plus.
• Strong organizational skills and attention to detail.
• A passion for education and a commitment to the success of our students.
• The ability to handle both telecalling and counseling responsibilities effectively.

• Seeking an Individual carrying around 5+ yrs of experience.
• Must have skills - Jenkins, Groovy, Ansible, Shell Scripting, Python, Linux Admin
• Terraform, AWS deep knowledge to automate and provision EC2, EBS, SQL Server, cost optimization, CI/CD pipeline using Jenkins, Server less automation is plus.
• Excellent writing and communication skills in English. Enjoy writing crisp and understandable documentation
• Comfortable programming in one or more scripting languages
• Enjoys tinkering with tooling. Find easier ways to handle systems by doing some research. Strong awareness around build vs buy.

Process: Xfinity
Job Mode: Work from Office
Designation: Inbound Sales Associate
Process Description: Inbound Sales Process

Quality Specification:

• Required A grade candidates
• Applicant must have Good / Average communication skills
• Only Graduates candidates can apply for this positions

• If applicant is fresher after graduation then he/she can apply for this job

Additional:

• Need Candidates from Delhi/NCR, ready to work in night shifts. Work from office
• Cab Facility in Odd Hours provided by company

Job Description

• Planning with the product advancement group to finish item thoughts 
• Utilizing different programming to plan the items. Has hands on coding experience across different technology stacks. Willing to experiment & explore across technologies and identify the best suited
• Performing constant market analysis of competing products
• Testing item models to control configuration blemishes 
• Talking with delivery team to work out financially savvy producing methodology and solutions. 
• Ability to ideate, code, setup a prototype and on approval design the entire application as per business requirements.
• Complete knowledge of Full stack development. .
• As a product engineer, our Super Hero is expected to participate in all parts of development life cycle. Create user friendly, cost effective product design.
• Ability to research w.r.t features, UX, functionalities and finally testing before being rolled out.

Job Requirements

• Familiarity with all stages of product development life cycle.
• Extensive experience in writing codes, deep understanding of platform architecture, ability to design & develop solutions & knack towards problem solving.
• Deep engineering skills in various technology stacks, ability to handle big data concepts, keen to work in IIOT & machine data domain.  
• Ability to effectively present ideas & communicate with team members within & outside organization, ability to write routine reports and correspondence and ability to speak confidently & effectively before groups of customers or other Donaldson colleagues.
• We are happy to have a technology geek take this position as long as s/he is able to align the product roadmap to organization’s growth roadmap.
• Good communication and presentation skills
• Effective written and verbal skills in English Language are mandatory.
• This is a global role and the candidate may be required to travel to Smart Ship Hub’s different delivery centres.

Experience Requirements & Educational Qualification

• Atleast 5 years of proven product engineering experience. Must have: managed product life cycle, knowledge of product roadmap, extensive coding experience.
• Should be open to working in Disruptive Application Design domain, IIOT, Smart Sensors, Big data

• Monitoring the market & competitor activities & providing relevant reports.
• Maintain a database of potential business partner's contact numbers and emails.
• Brainstorm new and creative growth strategies.
• Come up with new marketing Ideas.
• Market product to target customers.