SQL Developer

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).

📌 Job Title: Business Development Specialist (SaaS – USA Market)

📍 Location: Trichy (On-site)

💼 Job Type: Full-Time

🕢Shift time : 07.30pm - 04.30 am

🧩 Experience: Minimum 3+ Years in B2B SaaS Lead Generation / Sales (US Market Preferred)

About the Role

We are a fast-growing SaaS company expanding into the US market and seeking a driven Business Development Specialist to accelerate our growth. This role requires a blend of strategic planning and hands-on execution — ideal for a competitive and results-oriented professional.

Key Responsibilities

Identify, research, and generate qualified leads across multiple channels including LinkedIn, email, calls, and digital campaigns

Build, track, and manage a strong sales pipeline using CRM tools (HubSpot preferred)

Collaborate closely with the sales team to schedule demos and ensure smooth client handoffs

Meet and exceed monthly lead generation & conversion targets

Track outreach KPIs and optimize campaigns for improved efficiency

What We’re Looking For

3+ years of proven experience in B2B SaaS lead generation or sales — preferably targeting the US market

Strong understanding of sales funnels, CRM systems, and prospecting tools (HubSpot, Apollo, LinkedIn Sales Navigator, etc.)

Excellent written and verbal communication with strong negotiation and follow-up skills

Self-starter mindset — proactive, accountable, and capable of working independently

Familiarity with the US B2B sales landscape will be an added advantage

Why Join Us

Opportunity to work with an ambitious, innovation-driven SaaS team

Ownership and autonomy in your role — your ideas matter

Performance-driven culture with clear growth pathways

Work environment focused on collaboration, skill development & career progression

Compensation

💰 Competitive salary + performance-based incentives

A Sales Executive, you are responsible for driving sales, acquiring new clients, and managing relationships within the construction,

industrial, and commercial sectors. This role requires strong technical knowledge of PEB solutions, excellent sales acumen, and the

ability to communicate the benefits of pre-engineered buildings to prospective clients.

Key Responsibilities:

1. Client Acquisition and Business Development:

o Identify and pursue new business opportunities in the construction, infrastructure, industrial, and commercial sectors

where PEB solutions are applicable.

o Build a strong pipeline of leads by engaging in market research, networking, and customer outreach.

o Develop and execute strategies to penetrate new markets and industries where PEB structures offer a competitive

advantage.

2. Sales Presentations and Product Knowledge:

o Present PEB solutions to potential clients, including architects, contractors, project developers, and business owners.

o Understand the client’s needs and propose tailored solutions that highlight the benefits of PEB in terms of cost savings,

time efficiency, and structural flexibility.

o Keep up-to-date with product offerings, technical specifications, industry trends, and competitor offerings to provide

knowledgeable and professional sales consultations.

3. Relationship Management:

o Establish and maintain strong relationships with clients to encourage repeat business and long-term partnerships.

o Serve as the primary point of contact for client inquiries, concerns, and after-sales support.

o Coordinate with internal teams such as engineering, production, and project management to ensure timely delivery

and customer satisfaction.

4. Sales Targets and Reporting:

o Meet or exceed monthly and quarterly sales targets for PEB products and solutions.

o Prepare sales forecasts, budgets, and reports to present to the sales manager or senior leadership.

o Analyze sales performance data to identify trends and areas for improvement.

5. Proposal and Contract Management:

o Prepare and deliver accurate quotations, proposals, and tender submissions based on client requirements and project

specifications.

o Negotiate terms, pricing, and contracts to secure sales deals in line with company policies and profitability goals.

o Ensure proper documentation is completed and maintained for all sales transactions and client communications.

6. Market Analysis and Competitive Intelligence:

o Conduct market research to understand the competitive landscape, customer needs, and industry trends in the PEB

sector.

o Gather and analyze competitor information to develop strategies for gaining a competitive edge.

o Provide feedback to the product development and marketing teams on customer needs and market trends to influence

product innovation and marketing strategies.

7. Collaboration with Internal Teams:

o Work closely with the engineering and design teams to develop customized PEB solutions that meet the client’s specific

needs.

o Coordinate with the production team to ensure timely manufacturing and delivery of PEB components.

o Liaise with the project management team to ensure smooth project execution, from contract signing to building

erection.

8. Customer Satisfaction and Post-Sales Support:

o Ensure client satisfaction by providing ongoing support and addressing any issues related to product quality or delivery

timelines.

o Follow up with clients post-project completion to assess satisfaction and explore additional sales opportunities.

Qualifications and Skills:

 Education: Bachelor’s degree in Civil Engineering, Mechanical Engineering, Business, or a related field. Engineering

knowledge is a plus, given the technical nature of PEB products.

 Experience: 2-5 years of sales experience, preferably in the construction, steel, or PEB industry.

 Certifications (optional): Sales certifications or training in technical sales may be an advantage.

 Technical Skills:

o Basic understanding of structural engineering, steel fabrication, and construction processes.

o Proficiency in using CRM software, Microsoft Office, and sales management tools.

 Sales Skills:

o Strong sales, negotiation, and presentation skills.

o Ability to understand and communicate technical product details to clients.

o Proven track record of meeting or exceeding sales targets.

 Soft Skills:

o Excellent communication and interpersonal skills.

o Self-motivated and goal-oriented, with a proactive approach to sales.

o Strong problem-solving skills and the ability to handle complex client needs.

o Ability to work both independently and as part of a team.

Key Performance Indicators (KPIs):

 Achievement of monthly and quarterly sales targets.

 Number of new clients acquired.

 Client retention and repeat business rates.

 Accuracy and timeliness of proposals and quotations.

 Customer satisfaction and post-sales support.

Work Environment:

 The role may require frequent travel to meet clients, visit project sites, and attend industry events.

 A combination of office work (for proposal generation, reporting, and internal meetings) and fieldwork (client meetings,

presentations, site visits).

The Sales Executive plays a vital role in driving business growth by promoting innovative steel building solutions that are faster,

more economical, and more flexible than traditional construction methods. This position requires a balance of technical

understanding and sales expertise to effectively communicate the value of PEBs to prospective clients.

Job description:

Job Description for Business Development Executive

Modicle Studios is one the fastest growing 360 degree Marketing Communication Organisation based in Bhandup Mumbai.

For this expansion we are looking at a young dynamic Business Development Executive.

Roles and Responsibilities:

1. Be part of the Business Development function so as to increase the Client Base and Revenue

2. Currrent Lead Management to convert them to prospective clients

4. Engagement of prospects on Linkedin. Work on Linkedin Navigator for generating new leads and keep engaging with them.

5. Organise Seminars/Webinars for prospective clients

6. Attending and Presenting Modicle Studios in Networking and Business Forums

Who can apply?

1. 3-5 Years’ Sales or Business Development experience preferably in a Service Industry

2. Great Written and Verbal Communication Skills

3. Willingness to travel and meet prospects in and around Mumbai

4. Women wanting to start/restart their career can also apply

5. Should be willing to travel for client meetings and seminars

6. Knowledge of CRM software would be handy

Job Type: Full-time

Benefits:

• Cell phone reimbursement

Ability to commute/relocate:

• Mumbai, Mumbai Suburban - 400078, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred)

Education:

• Bachelor's (Preferred)

Experience:

• total work: 4 years (Preferred)
• B2B sales: 3 years (Preferred)

Language:

• English (Preferred)

Location:

• Mumbai, Mumbai Suburban - 400078, Maharashtra (Preferred)

Willingness to travel:

• 75% (Preferred)

Work Location: In person

Greetings from VEST Software

About VTEST 

Founded in 2015 in Pune, VTEST (www.vtestcorp.com) is a pure-play Software Testing services firm based out of Pune, India registered in Atlanta, US and Melbourne, Australia and recognized with Great Place to Work & NASSCOM certified. VTEST works with clients across the globe and employs Manual and Automation Testers to implement best testing practices for all types of testing. Our testers work Remote or from VTEST and client offices across India and international locations.

We are seeking a skilled Manual QA Tester with Salesforce testing experience to join our QA team. The ideal candidate will have a strong foundation in manual testing methodologies along with hands-on experience testing Salesforce-based applications along with BDD/Gherkin syntax and excellent communication skills are essential for this role.

Job Skills: Manual_Salesforce Testing with BDD/Gherkin and AI usage.

Work Location: Work from Office - Viman Nagar, Pune

Work Mode: Hybrid (3 days in a week)

Qualifications: Any Graduate (Yes, at VTEST we accept ANY Graduate irrespective of Specialization, College, University. If you can TEST then apply to VTEST)

Years of Experience: 4 to 6 Years 

Joining Availability - Immediate to 30 days

Required Skills:

• 4 - 6 years of manual testing experience with at least 2+ years in Salesforce application testing.
• Strong knowledge of Salesforce CRM (Sales Cloud/Service Cloud).
• Salesforce certification (e.g., Salesforce Administrator or Platform App Builder) is a strong plus.
• Proficiency in writing test cases, test plans, and understanding end-to-end business workflows.
• Experience with BDD frameworks (Cucumber/Gherkin) is mandatory.
• Worked on AI testing.
• Familiarity with Agile/Scrum environments.
• Excellent verbal and written communication skills – must be able to effectively articulate issues and collaborate with teams.

What You Will Do:

• Understand and analyze business requirements, functional specifications, and technical documentation.
• Design, develop, and execute comprehensive manual test cases for Salesforce and integrated applications.
• Conduct various types of testing – functional, regression, UI, integration, and system testing.
• Validate Salesforce configurations, customizations (Apex, Visualforce, Lightning components), workflows, and reports.
• Collaborate with business analysts, developers, and stakeholders to ensure quality deliverables.
• Participate in defect triage meetings and drive issues to resolution.
• Use tools such as JIRA, Zephyr, or similar for test management and defect tracking.
• Create and maintain test documentation, test data, and testing metrics.

VTEST is an Equal Opportunity Employer. As a policy, VTEST provides equal employment opportunities, without any discrimination on the grounds of age, color, disability, marital status, nationality, race, religion, sex, sexual orientation. VTEST strives to maintain a work environment that is free from any harassment based on above considerations.

Below are a few links for you to refer to and know more about VTEST, our employee-friendly policies, our work ethics, and standards to start with -

Website www.vtestcorp.com

LinkedIn https://www.linkedin.com/company/vtest/

Facebook https://www.facebook.com/vtestcorp

Instagram https://www.instagram.com/vtest_software/  

Twitter https://twitter.com/vtestcorp

Are you a software developer who possesses magical React skills? Do you enjoy crafting intuitive, responsive, and scalable user interfaces? If so, we want you to join our team at Portle!

As a software engineer at Portle, you will have the opportunity to:

• Work on challenging problems everyday
• Design and develop excellent user experiences using React
• Collaborate with other engineers to ensure that our codebase is scalable, maintainable, and easily readable
• Learn to balance the creation of tech debt with delivering business requirements
• Understand complex problems, break them down into smaller ones, and solve each modularly

We are looking for someone with the following profile:

• Expertise in data structures and algorithms (extremely important)
• Strong proficiency in HTML, CSS, and JavaScript
• Experience with React and its latest features, such as hooks
• Excellent communication skills and the ability to work in an unstructured startup environment

At Portle, we value self-motivated individuals who do not need supervision to perform at their peak levels. We're looking for someone who's passionate about React and loves to wield its magic to create amazing software. If you're a React Sorcerer who's ready to take on a new challenge, we want to hear from you! Apply today and let us see your sorcery in action!

GREETINGS FROM CODEMANTRA !!!

EXCELLENT OPPORTUNITY FOR DATA SCIENCE/AI AND ML ARCHITECT !!!

Skills and Qualifications

*Strong Hands-on experience in Python Programming

*** Working experience with Computer Vision models - Object Detection Model, Image Classification

* Good experience in feature extraction, feature selection techniques and transfer learning

* Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.

* Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.

* Good experience in exploratory data analysis, data visualisation, and other data pre-processing techniques.

* Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe Good knowledge in statistics, distribution of data and in supervised and unsupervised machine learning algorithms.

* Exposure to OpenCV Familiarity with GPUs + CUDA Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.

* We are looking for a candidate with 9+ years of relevant experience , who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: *Experience with big data tools: Hadoop, Spark, Kafka, etc.
*Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
*Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.

Responsibilities
*Selecting features, building and optimizing classifiers using machine learning techniques
*Data mining using state-of-the-art methods
*Enhancing data collection procedures to include information that is relevant for building analytic systems
*Processing, cleansing, and verifying the integrity of data used for analysis
*Creating automated anomaly detection systems and constant tracking of its performance
*Assemble large, complex data sets that meet functional / non-functional business requirements.
*Secure and manage when needed GPU cluster resources for events
*Write comprehensive internal feedback reports and find opportunities for improvements
*Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model

Regards