Finance & Accounting

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).

Roles & Responsibilities

1. Business Development & Sales

o Drive sales of LAN/WAN Networking, Wi-Fi, Firewall, Passive Cabling,

Server & Storage, and CCTV/Power Solutions.

o Generate new business across PAN India through tenders, GeM, and

direct enterprise engagements.

o Prepare techno-commercial proposals and close deals independently.

2. Government & Corporate Account Management

o Identify and pursue opportunities in Central/State Government

departments, PSUs, and Enterprises.

o Manage the entire sales cycle — from lead generation to final order

booking.

3. OEM & Channel Coordination

o Liaise with key OEMs and distributors (Arista, ALE, Juniper, D-Link,

Sophos, Molex, Commscope, etc.) for pricing and solution support.

o Stay updated on latest product offerings, certifications, and programs.

4. Sales Planning & Target Achievement

o Achieve an annual sales target of ₹5.0 Crore with a minimum 12-15%

margin.

o Ensure annual in-hand earnings equivalent to 5× company bottom-line

contribution.

o Plan and execute monthly/quarterly sales forecasts.

5. Customer Relationship & Market Growth

o Build long-term relationships with clients, OEMs, and channel partners.

o Participate in OEM events, exhibitions, and partner programs to enhance

brand visibility.

6. Reporting & Documentation

o Maintain sales activity reports, project trackers, and collection updates.

o Report regularly to management at the NSP, Delhi office.

7. Travel & Local Conveyance

o Frequent travel across India as per project and customer requirements.

We’re Hiring: Customer Support Executive – International (Voice & Chat)

Location: Kolkata

Shifts: Rotational (Day/Night)

Experience: 1–3 Years

Department: Customer Support / Operations

Job Summary:

We are looking for dynamic professionals to join our International Contact Centre team & Chat. If you have strong communication skills and Fluent in English & Hindi (mandatory) with experience in BPO/KPO or international call center handling global customers via voice and chat this role is for you.

Key Responsibilities:

·      Own end-to-end customer interactions across voice and chat (international & domestic)

·      Deliver quick, accurate, and high-quality responses with a customer-first approach

·      Resolve queries and issues proactively with clear follow-through

·      Maintain clean and structured documentation

·      Ensure high service standards, customer satisfaction,

·      Operate with discipline by following SOPs, quality benchmarks, and processes

·      Stay flexible and aligned with global time zones and dynamic operational needs

Required Skills & Qualifications:

·      1–3 years of experience in customer support (voice and/or chat process)

·      Excellent verbal and written communication skills

·      Strong problem-solving and multitasking abilities

·      Ability to handle pressure and manage difficult customers professionally

·      Basic computer knowledge (MS Office, typing skills)

·      Good listening skills and attention to detail

·      Ability to work in rotational shifts (including night shifts) and rotational week offs

Preferred Qualifications:

• Experience in BPO/KPO or international call center environment
• Exposure to global customer handling and cultural sensitivity

Shift Timings:

·       Day Shift: 11am – 9pm

·       Night Shift: 9pm – 7am

6 days Working (Rotational week-offs)

Responsibilities:

• Assist with the execution of manual testing procedures to ensure the functionality, usability, and performance of software applications.
• Create and execute test cases based on project requirements and specifications.
• Document test results, defects, and issues encountered during testing.
• Work collaboratively with developers and other team members to troubleshoot and resolve issues.
• Participate in test plan and test case reviews to ensure thorough test coverage.
• Assist in the identification and implementation of process improvements to enhance the efficiency and effectiveness of the QA process.
• Support the QA team in various tasks and projects as needed.

Qualifications:

• Currently enrolled in a degree program in computer science, information technology, or related field.
• Strong interest in software testing and quality assurance.
• Basic understanding of software development lifecycle and testing methodologies.
• Excellent analytical and problem-solving skills.
• Detail-oriented with a high level of accuracy.
• Strong communication and interpersonal skills.
• Ability to work effectively both independently and as part of a team.
• Familiarity with testing tools and technologies is a plus.

Preferred Qualifications:

• Previous internship or coursework in software testing or quality assurance.
• Experience with bug tracking and test management tools, such as JIRA or TestRail.
• Basic understanding of programming languages such as Java, Python, or C#.
• Knowledge of automated testing tools and frameworks.

Looking for a Backend Developer who has Experience in ERP(college/university),CRM(college/university/Payroll/Inventory) ,HRMS.

Experience in Application Development (Product Development)
Good coding experience in PHP and MYSQL Database
Who can write routines and test their own code using the negative SQL concept
Experienced in banking/finance/academic software.

Must have 0 Year - 3 year .NET Development Experience

• Good working experience with .NET Core 3

• Good working experience with C#, MVC, OOPS concepts

• Good working experience with Web APIs, jQuery, and JavaScript.

• Good working experience with MS SQL Server

• Very Good Team Player

•Very Good Communication

• Strong Experience on Autosar 4.x BSW modules configuration and development on any one of the below mentioned modules
  • Com stack (COM, CANSM, CANNM)
  • Memory stack (NvM, Fls, Fee)
  • Diagnostic stack (DEM, DCM, FIM)
  • System Services (BswM, EcuM, ComM, OS)
• Knowledge and Experience on AUTOSAR standard, AUTOSAR configuration tools (EB Tresos, Vector Configurator DaVinci, ETAS isolar)
• Excellent programming skill in C language
• knowledge on Requirements Engineering, Traceability and experience using any of the requirement engineering tools – DOORS
• Involvement on RDCT of software development.
• Experience using the measurement/testing tools – CANoe, Trace32, MiniWiggler
• Excellent debugging, analytical, logical and communication skills
• Knowledge/Working Experience in Scripting languages – Python, CAPL.
• knowledge on Quality Management – Automotive SPICE
• Experience working in Agile-Scrum/Kanban development process