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Senior Application Engineer
Senior Application Engineer

Senior Application Engineer at Soch Street · Bengaluru (Bangalore) · 5 - 8 years · ₹20L - ₹45L / yr · Posted 11 Sep 2026

Soch Street's logo

Senior Application Engineer

Lalitha B's profile picture
Posted by Lalitha B
5 - 8 yrs
₹20L - ₹45L / yr
Bengaluru (Bangalore)
Skills
FPGA
Presales
RF
Firmware
RTL

✨ What we’re looking for:

✦ 8+ years of overall experience, with 5+ years in Defence or Aerospace.

✦ Strong hands-on engineering background — this is a technical pre-sales role, not a pure sales role.

✦ Experience across FPGA Design & Programming, RF Systems Engineering, Embedded Systems and Toolchains.

✦ Strong HW/SW integration experience — ability to read schematics, write firmware and debug at the hardware-software boundary.

✦ Experience in Pre-Sales, Application Engineering or Systems Integration, preferably working with DRDO / Defence PSUs / OEMs / Aerospace programmes.

✦ Ability to engage with hardware engineers, system architects and programme managers and understand technical challenges across radar, EW, NCW and embedded defence platforms.

✦ Strong ability to translate complex engineering problems into AI-driven technical solutions, and own the technical pre-sales journey from discovery through solution discussions.

🔐 Important: Candidate must be an Indian national and eligible for MoD security clearance.


🚀 What you’ll work on:

You’ll be the technical bridge between customer challenges such as slow RTL-to-software cycles, outdated toolchains and verification bottlenecks and the company’s AI-assisted engineering products.

You’ll work closely with DRDO clusters, DPSUs, Tier-1 OEMs/integrators and defence & aerospace customers.

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About Soch Street

Founded :
2024
Type
Size
Stage

About

Soch Street is a talent partner for startups and growing businesses, helping founders build exceptional teams that drive growth. We specialize in leadership hiring, GTM talent acquisition, and strategic recruitment across Sales, Marketing, Product, Customer Success, Operations, and Leadership functions. Whether you're making your first critical hire, building a GTM engine, expanding your leadership team, or scaling rapidly, we work as an extension of your team to identify, engage, and hire top talent. We go beyond resumes to understand your business goals, culture, and growth stage, ensuring every hire creates meaningful impact. Our focus is simple: helping ambitious companies find the right people at the right time. Connecting great talent with great companies. Building teams that build businesses.
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We are looking for a dynamic and customer-focused Presales Engineer – Cloud & AI to support our Cloud Transformation, Modernization, Managed Services, and AI/GenAI practices.

This role is pivotal in shaping technical solutions for prospective customers, driving value-based conversations, and bridging the gap between customer challenges and Comprinno's cloud and AI capabilities.

As a Presales Engineer – Cloud & AI, you will work closely with Sales, Solution Architects, Data & AI teams, and Delivery teams to understand customer requirements, design high-level solutions, and articulate how Comprinno's offerings can accelerate digital transformation and business outcomes.

This is a high-impact role that combines cloud solutioning, technical consulting, AI awareness, customer engagement, and presales excellence.

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Customer Discovery & Solutioning

  • Engage with prospective customers to understand business objectives, technical challenges, and transformation goals.
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Cloud Transformation Consulting

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AI & GenAI Solution Consulting

  • Identify opportunities for AI, GenAI, and Agentic AI adoption within customer environments.
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Proposal Development & Technical Presales

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  • Support Proof of Concepts (PoCs), demonstrations, and technical validations.
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Customer Engagement & Thought Leadership

  • Attend customer meetings jointly with Sales teams to provide technical expertise.
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Collaboration & Knowledge Management

  • Collaborate with Delivery teams to ensure smooth handover and alignment between presales and execution.
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Travel & Customer Interaction

  • Travel as required for customer meetings, workshops, assessments, events, and strategic engagements.
  • Represent Comprinno professionally during all customer-facing interactions.

Required Qualifications & Skills

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
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  • Understanding of:
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Desired Qualifications & Skills

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What We're Looking For

  • Strong consulting mindset with the ability to understand customer business challenges.
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  • Join a collaborative, high-performance culture that values ownership, innovation, and continuous learning.
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Location: Coimbatore / Hybrid

Joining: Immediate / Within 30 Days


Primary Skills: Enterprise Architecture, Python, REST APIs, Microservices, Distributed Systems, Cloud (AWS/Azure/GCP), CI/CD, Docker, Kubernetes, Enterprise Data Architecture, Integration Patterns.

Preferred Skills: LLM Integrations, RAG Pipelines, AI Agents, Agentic Workflows, MCP (Model Context Protocol), Vector Databases, Prompt Engineering, LangChain/LlamaIndex, LLMOps, Multi-Agent Orchestration.


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At Techjays, we're helping companies reimagine how they build, operate, and scale with AI at the core. We focus on building secure, scalable, production-grade AI systems that solve real business problems and deliver measurable outcomes.

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This is a senior technical role at the intersection of enterprise architecture, pre-sales, solutioning, and delivery governance. You'll collaborate with leadership, engineering teams, and clients to architect solutions spanning AI integrations, RAG pipelines, agentic workflows, cloud infrastructure, and enterprise platforms.


This role requires a strong technical background and current hands-on expertise. Candidates with purely pre-sales experience or non-technical solutioning backgrounds will not be a fit.


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  • Lead client discovery sessions and technical presentations, communicating architectural decisions and trade-offs to technical and executive stakeholders.
  • Conduct architecture reviews and technical assessments to ensure scalability
Read more
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Silfa Rodrigues
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Bengaluru (Bangalore)
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A working product and a working deployment are two different things. You are the person who closes that gap.

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You design the deployment, you build it, and you own whether it holds up on a Saturday evening in a crowded store. Nobody hands you the plan, and nobody hands you the spec. You write both.

The decisions are yours. Which integration is worth the week, which vertical taxonomy needs building, what ships in the pilot and what waits, and when to tell a client that the thing they are asking for is the wrong thing to build. You go and find out what a client needs before anyone writes a line of code.

You will not be doing it alone. There are founders, AI engineers and product people around you, and they will build alongside you. What nobody will do is tell you what the client needs. That call is yours.

The work compounds if you do it well. What you learn on one deployment becomes a specification, then code, then a pattern the next one starts from. A year in, the deployments you designed should be running without you, and a new client should take a fraction of the time the first one did.


What you will do

Own the deployment end to end. Device provisioning, store connectivity, data flowing, first insight in front of the client. Get from kickoff to something real inside

the pilot window, and know by the halfway mark whether it is in trouble.

Get their HQ using it. A dashboard nobody opens is a failed deployment. Sit with the sales, marketing and L&D teams, show them what is in their own data, and

make sure the people who asked for this are actually looking at it every week.

Make the AI work on their floor. Their languages, their store noise, their product vocabulary. Benchmark transcription and speaker separation on their actual

audio, and fix what fails instead of explaining it away.

Build the vertical. Intent taxonomies, objection maps and prompt libraries for the category you are deployed into. A jewellery floor and an electronics floor do not

share a conversation model.

Wire it into their systems. CRM and POS integrations, so conversation data connects to what actually got sold and the insight can be checked against reality.

Build what the client asks for. Custom reports, dashboards and agents. Ground everything in source conversations and verify it before it ships, because a confident

wrong number costs an account.

Close the pilot. A pilot converts on results, not on effort. Know what the client agreed to judge this on, work backwards from it, and make sure the output in front of

their leadership at the end is the thing they asked for.

Grow the account. The same intelligence is worth something to marketing, L&D and category teams inside the same client. Spot which of them would benefit, show them what is already in their data, and hand a real opening to the account team.

Push it back into the product. Turn one-off client work into something the platform does by default, so the next deployment starts further ahead than this one did.


What we are looking for

Must have

  • 0 to 5 years of experience. A consulting internship or an analyst role is the closest match to what this job actually asks for, but we care more about what you can do than where you did it
  • Coding ability, ideally Python. Degree, internship, first job or your own projects. What we want to see is something you built that other people actually used
  • Excel or Sheets at a real working level. A lot of the first conversation with a client happens in a spreadsheet before it ever happens in a dashboard
  • The ability to explain a complicated idea simply. You will be taking AI output to people who do not think about models, and the explanation matters as much as the result
  • Comfort at the boundaries. APIs, data pipelines, some frontend, some hardware when a device misbehaves
  • An eye for where a deployment turns into more business, and the willingness to raise it yourself
  • Heavy hands-on LLM usage. Prompts, evaluations, retrieval, and a clear view on where these tools break
  • Fluent English and Hindi. A third Indian language counts for a lot, since the useful conversations happen on store floors and not only in HQ meeting rooms
  • The instinct to go and find out what a client needs rather than waiting to be told

Good to have

Speech or audio work. Transcription, diarization, voice activity detection, or

anything that survives noisy real-world recording

Embedded or IoT experience, on ESP32 or similar

SQL and experience building things customers actually look at

Side projects, hackathons or internships where you shipped without a spec

and it worked

Read more
AbleCredit
at AbleCredit
2 candid answers
Arpita Das
Posted by Arpita Das
Bengaluru (Bangalore), Mumbai
2 - 10 yrs
Best in industry
enterprise account management
Customer Relationship Management (CRM)
Stakeholder management
customer engagement
client communication
+5 more

About AbleCredit

AbleCredit helps banks, NBFCs, and housing finance companies make faster, better-informed lending decisions through technology-enabled field verification, income estimation, borrower verification, and post disbursement portfolio monitoring. Our solutions enable financial institutions to improve operational efficiency, reduce risk, and accelerate lending decisions.


The Role

We're looking for a Manager – Pre-Sales & Solution Consulting to bridge the gap between customer requirements and our product capabilities.


As part of the Sales team, you will engage with prospective clients to understand their business processes, lending workflows, and operational challenges. You will evaluate solution feasibility, define the scope of Proof of Concepts (POCs), and work closely with Product, Engineering, and Operations teams to design solutions that align with customer requirements.


This role is ideal for someone who enjoys solving business problems, collaborating across teams, and translating customer needs into practical product solutions. While you will work closely with the Sales team, your primary responsibility is to ensure technical and business feasibility before a commercial commitment is made.


What You'll Do?

  • Understand prospective clients' lending workflows, operational processes, and business challenges through discovery sessions.
  • Gather, analyse, and document business requirements to determine how AbleCredit's platform can address customer needs.
  • Conduct feasibility assessments for new client use cases and identify any product or implementation gaps.
  • Define the scope, objectives, success criteria, assumptions, and timelines for client POCs.
  • Collaborate closely with Product, Engineering, Operations, and Sales teams to design practical and scalable solutions.
  • Recommend configuration approaches or process improvements based on customer requirements.
  • Identify implementation risks, dependencies, and constraints early in the sales cycle.
  • Support customer meetings by presenting solution workflows, product capabilities, and proposed approaches.
  • Coordinate internal stakeholders to ensure POCs are well planned and executed as designed.
  • Create clear solution documentation, requirement specifications, process flows, and implementation notes.
  • Provide structured customer feedback to Product teams to support future product enhancements.
  • Ensure a seamless handover of validated opportunities to the implementation or Customer Success teams once commercial discussions begin.


What We're Looking For?

  • 2–4 years of experience in Pre-Sales, Solution Consulting, Solution Engineering, Business Analysis, Product Consulting, Implementation Consulting, or a similar customer-facing role within a B2B SaaS, FinTech, or enterprise technology environment.
  • Strong experience gathering business requirements and translating them into solution designs.
  • Ability to understand business processes and evaluate solution feasibility.
  • Excellent communication and stakeholder management skills with the ability to engage business and operational teams.
  • Strong analytical and problem-solving abilities with attention to detail.
  • Experience coordinating with cross-functional teams including Product, Engineering, Operations, and Sales.
  • Ability to manage multiple customer engagements simultaneously in a fast-paced environment.
  • Comfortable preparing documentation such as business requirements, solution proposals, process flows, and POC plans.


Nice to Have

  • Experience working with banks, NBFCs, lending platforms, or other BFSI organisations.
  • Understanding of lending operations, credit workflows, field verification, or loan origination processes.
  • Experience supporting enterprise software implementations or Proof of Concepts.
  • Familiarity with APIs, system integrations, or workflow automation concepts.
  • Experience using CRM and project management tools.


What Success Looks Like?

  • Customer requirements are accurately understood and translated into well-defined solution plans.
  • Feasibility assessments are completed with minimal rework during implementation.
  • POCs are scoped clearly with realistic timelines and measurable success criteria.
  • Strong collaboration between Sales, Product, and Engineering throughout the pre-sales lifecycle.
  • Smooth transition of qualified opportunities to implementation teams with complete documentation and minimal knowledge gaps.
Read more
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Shubham Vishwakarma

Full Stack Developer - Averlon
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